The OKR Software Benchmark · 2026.Q3.2

Best OKR software with AI features in 2026

Which OKR platforms ship AI that actually works — grounded assistants, agents, and MCP — scored on six dimensions

Updated September 15, 2026 · 7 platforms scored · How we rank

This AI-category assessment reviews all active vendors using current official documentation and recorded exploratory evaluations. It scores six dimensions separately; only complete assessments enter the ranking. Unknowns remain unscored. Existing platform-level ratings are unchanged.

How we think about this category

Different buyers weigh different things, so every ranking in this benchmark runs its own weighted model instead of reusing one universal score. Here is what we score in this category, heaviest first:

In-product agents (20%) — Agents that do real OKR work, not just answer questions.

AI check-ins & smart actions (20%) — Automated progress updates and data-driven actions.

Core OKR foundation (20%) — The execution base the AI operates on.

Conversational assistant (15%) — An in-product LLM you can query about goals and progress.

MCP & agent interoperability (15%) — Letting YOUR AI stack operate the platform.

AI goal setting (10%) — AI support for drafting quality goals.

The full rationale for each criterion is under How we compare.

On this page

The ranking

Tability and WorkBoard share first place among 7 scored active platforms, with a 4.0/5 ai features score, ahead of Profit.co (3.0/5) and Rhythms.ai (2.8/5).

Scored set: Tability, WorkBoard, Profit.co, Rhythms.ai, Perdoo, OKRs Tool, Atlassian Goals.

Reviewed, incomplete evidence: 15Five, Betterworks, Cascade, Jira Align, JOP, Lattice, Leapsome, Mooncamp, Oboard, Peoplebox, Range, Teamflect, Weekdone. These vendors remain unranked until every criterion has sufficient evidence.

  1. 01
    Tability logo

    Tability

    Top pick
    4.0/5
    AI features score

    Tability is a modern goal-tracking platform designed for teams who want to manage OKRs without complexity. It focuses on simplicity, accountability, and actionable insights.

    Tested hands-on (Sep 2026) · Premium trial (14 days, no credit card)

    “Time for our own medicine. Tability was evaluated in a 30-minute session using the shared scenario, and the first difference showed before any goals existed: plan creation asks about check-in cadence and permissions up front. In several other tested tools those were settings I had to hunt for later – here the plan starts with a weekly reminder rhythm and access rules already decided.”

    • Plan creation front-loads the decisions other tools hide – cadence and permissions first, OKRs from text second.
    • The key result is the primary object – a full page with a graph, and a check-in built around the comment.
    • The dashboards you build by hand elsewhere come out of the box.
    The plan editor after import – plan score at 71, and the AI feedback pass finding nothing left to fix
    The key result page after check-in – the graph at 48 per month, with data connector and agent manager alongside
    The plan as a dashboard – timeline, key results, initiatives, net confidence score, and Quick AI Mode prompts, none of it built by hand

    AI in this session: The key-result-scoped AI mode answered a strategy question about the specific key result in view, grounded in its context.

    Choose it if you want a modern, clean OKR platform with dashboards ready out of the box, AI working across the product, and goals built for the agentic world — MCP, scheduled reports, and agents you can assign to key results. Skip it if you need a free tier, performance management with deep HRIS integration, or a heavyweight enterprise rollout with dedicated services at very large scale.

    $6/user/month · 14-day trial · G2 rating 4.7 (161) · Gartner rating 4.9 (46)

    Full review →Visit site ↗

  2. 01
    WorkBoard logo

    WorkBoard

    Top pick
    4.0/5
    AI features score

    WorkBoard is an enterprise-grade OKR platform designed for large organizations. It offers comprehensive planning, execution, and analytics capabilities.

    Strengths: Comprehensive enterprise features · Strong analytics

    Watch for: Steep learning curve · Expensive solution to deploy

    Est. $30/user/month (est.) · G2 rating 4.3 (342) · Gartner rating 4.2 (89)

    Full review →AlternativesVisit site ↗

  3. 03
    3.0/5
    AI features score

    Profit.co is a comprehensive OKR platform that combines objectives and key results with performance management. It offers a wide range of features for enterprise teams.

    Tested hands-on (Sep 2026) · Free trial (30 days, no credit card)

    “Profit.co is the opposite bet to Mooncamp. Where Mooncamp keeps things minimal, Profit.co ships everything – OKRs, performance management, a separate task module, a huge connector catalog – and you feel that breadth from the first minute. Onboarding was slower than the modern tools: account creation, a wait while sample data generated, then email verification before I could start. The workspace arrived with a full set of sample OKRs already in place.”

    • Every key result is a KPI you must define first – goal creation is slow and form-heavy.
    • Check-ins are the smartest moment in the product – our 48 was flagged At Risk against the plan line automatically.
    • Reporting is deep but reads like an advanced spreadsheet – and presentation mode is a download, not a view.
    The Add KPI form – name, category, and measurement type before a key result exists
    The check-in modal – 48 auto-flagged At Risk, 14.3% below the plan value for the date
    The completed test structure – objective, three KPI-backed key results, and the initiative filed as a non-contributing key result

    In this category it scores highest on MCP & agent interoperability and core OKR foundation (4), and lowest on in-product agents (1).

    Choose it if you want OKRs, performance management, and tasks in one system, with deep integrations and enterprise controls, and you have the patience to configure it. Skip it if you want a lightweight OKR tool your team can navigate without training, native AI that works out of the box, or transparent pricing.

    Est. $9/user/month (est.) · 30-day trial · G2 rating 4.7 (471) · Gartner rating 4.7 (109)

    Full review →Visit site ↗

  4. 04
    2.8/5
    AI features score

    Rhythms.ai is an innovative AI-powered platform that helps teams align strategy with execution. It combines OKRs with AI assistance to help teams set better goals, track progress, and drive accountability.

    Tested hands-on (Sep 2026) · Free plan (limited AI credits, no credit card)

    “Rhythms.ai drops you straight into a chat window. Signup took seconds, and the first thing the platform wanted was a conversation – so I pasted my test OKRs and said they were for the sales team. The assistant noticed the team didn't exist, asked if it should create it, then built the objective, the key results, and the initiative, checking in with me before publishing. If you use Claude or ChatGPT a lot, this feels immediately familiar. It is also slower than Perdoo's importer, which just went and created everything.”

    • Setup is a conversation – the assistant created the team, the OKRs, and the initiative from one pasted message.
    • The structure landed correctly and reads well in the alignment tree.
    • Check-ins get the details right – manual status, expected-vs-actual, and per-team cadence.
    The setup conversation – team created, three key results and the initiative queued up
    The alignment tree – objective, three key results, and the initiative
    The check-in – 48 of 60, expected 55.82 shown, status set to Behind manually

    AI in this session: The setup conversation was an alternative write task – the assistant created the team, objective, key results, and initiative from our pasted scenario, asking before publishing.

    In this category it scores highest on core OKR foundation (4), and lowest on MCP & agent interoperability (2).

    Choose it if you want an AI-native workspace — chat-first setup, auto-updating key results, an MCP server, and a huge connector catalog — and you'll trade some everyday responsiveness for it. Skip it if you want a fast, conventional OKR interface first and AI second, per-person dashboards, or control over who can create content.

    Est. $22/user/month (est.) · Free tier

    Full review →Visit site ↗

  5. 05
    2.7/5
    AI features score

    Perdoo helps organizations implement OKRs and execute their strategy. It offers a balanced feature set for mid-sized to large companies.

    Tested hands-on (Sep 2026) · Free trial (no credit card)

    “Perdoo gave me the fastest OKR setup of the benchmark so far, and it did it with AI. After a classic onboarding – pick your framework, pick your cadence, a small hiccup with the password email that I won't hold against them – I found a goal importer that takes plain text. I pasted my whole test scenario and it came back parsed: objective, three key results with the right targets, initiative. One go.”

    • The AI goal importer is one of the fastest OKR setups in this benchmark – our whole scenario parsed from plain text in one go.
    • In-app AI stops at the importer – but ChatGPT and Claude connect to your goals through Perdoo's MCP server.
    • The full test structure was live and attached to the sales team within minutes.
    The importer parsed the full test scenario from plain text, targets included
    The integrations catalog – ChatGPT and Claude connect through Perdoo's MCP server, next to an open API
    The imported structure on the home view, with the weekly Action Center above it

    In this category it scores highest on MCP & agent interoperability and core OKR foundation (4), and lowest on conversational assistant (1).

    Choose it if you want structured OKRs with an AI importer that created the scenario quickly — plus MCP access to your goals from ChatGPT and Claude. Skip it if you need a workspace-aware in-app assistant, ready-made leadership dashboards, or enterprise controls like IP restrictions and creation permissions.

    $9/user/month · Free tier · G2 rating 4.4 (502)

    Full review →AlternativesVisit site ↗

  6. 06
    1.8/5
    AI features score

    OKRs Tool is a flat-fee OKR platform for teams on a budget, and it is showing promise with updates covering KPIs, reports, built-in AI, and documented connections including Jira and a hosted MCP server. It is still a young product with a small team and only a handful of third-party reviews.

    Tested hands-on (Sep 2026) · Free plan (no credit card)

    “OKRs Tool starts strong. Right at onboarding it offered to draft my goals with AI, I pasted my test scenario, and the objective and three key results appeared with sensible targets. Then the cracks showed: every start value had been imported as zero, and when I corrected them, my edits saved but the app kept showing the old numbers. One key result ended up reading 100% ahead of pace because of an inverted baseline.”

    • AI drafting set up our OKRs in minutes – with the wrong baselines.
    • Goal editing fought back – changes saved but didn't show up.
    • Check-ins work, but progress is a bar, not a trend.
    The AI draft at onboarding – objective and key results parsed, targets suggested
    The imported goals – every start value arrived as 0, and the corrections wouldn't display
    The AI Coach insisting the objective has no key results – it had three

    AI in this session: Asked what to focus on this week, the AI Coach answered that our objective had no key results defined – it had three – and built its recommendations on that wrong premise.

    In this category it scores highest on MCP & agent interoperability and core OKR foundation (3), and lowest on conversational assistant (1).

    Choose it if you're a small team on a tight budget — the free tier and flat fee are the cheapest way into OKRs, and you can live with rough edges while the product matures. Skip it if you need a fast, polished product, automatic key result updates from your data sources, or AI you can trust to read your goals correctly.

    $49/flat fee · Free tier · G2 rating 4.6 (7)

    Full review →Visit site ↗

  7. 07
    1.6/5
    AI features score

    Atlassian Goals is the goals platform app included with every Atlassian cloud plan. It tracks objectives and success measures across Jira and Confluence, aimed at lightweight goal visibility rather than a full OKR practice.

    Tested hands-on (Sep 2026) · Included with an Atlassian cloud workspace (Goals platform app)

    “Atlassian Goals is the goals layer that ships free inside every Atlassian cloud plan, and the question going in was simple: does being inside Jira make it a serious OKR tool? The goal directory got me started, a goal maps to the objective, and success measures map to key results. Then came a familiar friction: like Profit.co and Cascade, every metric is created through its own separate form – pick the type, set the values, set a target date for each measure by hand, when it could simply default to the parent goal's timeline. It was annoying enough that I skipped setting the conversion metric up properly.”

    • Goals map to objectives and success measures to key results – each metric built in its own separate form.
    • For a tool inside Jira, connecting work to goals is oddly manual – create the ticket first, then paste its URL.
    • Updates work on the second try – manual status, a note, and a real discussion thread underneath.
    The goal with its success measures – each one created through a separate form
    The objective page – success measures as cards, with Jira, Projects, Learnings, Risks, and Decisions tabs
    The update – 40 to 48, Pending to At Risk, with the note and discussion thread

    AI in this session: Rovo located the goal and reported its owner, status, target date, and creation date correctly, describing the record's actual state at query time rather than inventing results.

    In this category it scores highest on conversational assistant (3), and lowest on AI goal setting (0).

    Choose it if you want free, lightweight goal visibility inside the Atlassian tools your teams already use, with Rovo able to answer questions about your goals. Skip it if you're serious about OKRs — automated key results, maps, generated reports, reminders, and a setup flow that doesn't fight you.

    Free/user/month · Free tier

    Full review →Visit site ↗

AI scoring anchors

Editorial capability assessment using vendor documentation, recorded evaluations and explicitly labeled evaluator confirmations. Unknown is null, never zero. A score is bounded by the reviewed scope, not proof that no additional capabilities exist. Half points require an explicit intermediate rationale. External MCP conversation does not qualify as an in-product assistant. No reliability benchmark or standardized AI prompt comparison has been completed.

In-product agents · 20%
0:
Confirmed unavailable in the stated scope
1:
Single user-triggered creation or action
2:
Several bounded actions, user-directed
3:
Multi-step OKR workflows with user control
4:
Recurring or proactive workflows plus delegated work and controls
5:
Comprehensive planning, execution, review and delegation with auditable autonomy controls
AI check-ins & smart actions · 20%
0:
Confirmed unavailable in the stated scope
1:
Text assistance for an update
2:
AI-generated update or summary for a limited context
3:
Contextual summaries, risks or connected-data actions
4:
Multiple update/report workflows with traceable inputs and review
5:
Comprehensive auditable updates, risks, scheduled summaries and controlled actions across the cycle
Conversational assistant · 15%
0:
Confirmed unavailable in the stated scope
1:
Narrow or unreliable goal conversation
2:
Contextual answers for a limited goal workflow
3:
Workspace-grounded goal questions and follow-ups
4:
Broad workspace conversation with record actions
5:
Comprehensive grounded analysis, citations and controlled execution across OKR workflows
MCP & agent interoperability · 15%
0:
Confirmed no supported integration route in the stated scope
1:
Limited API or third-party connector with narrow access
2:
Ordinary API or consumption of external MCP tools
3:
Vendor-hosted MCP with authenticated OKR access and documented supported operations; write scope may be limited
4:
Broad vendor MCP read/write across goals, updates and related work
5:
Comprehensive governed agent operations, granular permissions and auditable read/write lifecycle
AI goal setting · 10%
0:
Confirmed unavailable in the stated scope
1:
Generic wording suggestions
2:
Goal drafts or imports needing substantial correction
3:
Contextual objective and measurable KR creation
4:
Contextual drafts/imports with alignment and editable structure
5:
Comprehensive context-aware planning, quality checks, alignment and validated import fidelity
Core OKR foundation · 20%
0:
Confirmed no OKR workflow in the stated scope
1:
Basic goal records
2:
Goals and measurable progress with limited review workflow
3:
Owners, cycles, check-ins and progress views
4:
Alignment, history, cadence, ownership and reporting
5:
Comprehensive OKR lifecycle with adaptable governance, dependency management and reviews

AI assessment evidence and gaps

7 of 20 active vendor records have vendor-hosted MCP evidence: Atlassian Goals, Oboard, OKRs Tool, Perdoo, Profit.co, Tability, WorkBoard. The remaining records are unverified for hosting; this count is not a claim of exclusivity.

All active vendors were reviewed. Only assessments with all six scores enter the AI ranking. Missing evidence remains unscored. Scores reflect editorial interpretation of the cited scope; documentation is not an observed product test.

15Five · 3/6 criteria scored

Reviewed 2026-09-11. Connectivity evidence: not verified.

AI-category assessment only. Existing platform-level numeric ratings are unchanged. Sources describe available scope; only explicitly referenced session observations were exercised.

In-product agents: Not scored

The vendor describes new performance-management agents; goal-specific autonomous execution is not established.

Availability and limits: Documentation only. Confirm rollout, plan entitlement and goal-specific operation; external coaching does not establish an in-product assistant.

AI check-ins & smart actions: 3.0/5

Current AI page describes weekly Focus Briefs and review summaries drawing on goals, check-ins and work context. Autonomous OKR updates are not established.

Availability and limits: Documentation only; confirm rollout and package entitlement for the new agent workflows. Broad performance summaries do not establish autonomous goal writes.

Conversational assistant: Not scored

Kona coaching and Amaya people-data questions are described, but the reviewed material does not establish the in-product goal-conversation scope for this criterion.

Availability and limits: Documentation only. Confirm rollout, plan entitlement and goal-specific operation; external coaching does not establish an in-product assistant.

MCP & agent interoperability: Not scored

The reviewed product pages do not establish a supported MCP route or an ordinary goal API. Unknown is not absence.

Availability and limits: Documentation only. Confirm rollout, plan entitlement and goal-specific operation; external coaching does not establish an in-product assistant.

AI goal setting: 2.0/5

Current goal-setting guidance describes AI-assisted goal drafting. Indexed Copilot instructions describe drafts copied into the objective form, but the live help article redirects; current Copilot entitlement needs confirmation.

Availability and limits: Documentation only. Indexed instructions specify Transform seats on Total Platform; live guidance has moved. The score credits described drafting, not validated import or contextual alignment quality.

Core OKR foundation: 3.0/5

Current OKRs page documents company and individual goals, parent-child alignment, collaboration and live progress. Full review and governance depth was not evaluated.

Availability and limits: Documentation only; Objectives is part of the performance suite. No recorded product evaluation.

Atlassian Goals · 6/6 criteria scored

Reviewed 2026-09-13. Connectivity evidence: vendor mcp.

AI-category assessment from the recorded exploratory evaluation of Atlassian Goals on 2026-09-11, in which Rovo answered our standard summary prompt against a goal created in the session. Rovo's broader agent and MCP capabilities beyond that prompt were not exercised.

In-product agents: 2.0/5

Rovo is available across the Atlassian workspace and answered a grounded question about a goal in the recorded session, but no agent works inside the goals workflow itself — no drafting, monitoring, or scheduled work on goals was found.

Availability and limits: One recorded session on our own Atlassian cloud workspace. Rovo agents beyond the single summary prompt were not exercised, and plan entitlements for Rovo were not assessed.

AI check-ins & smart actions: 0.0/5

The goals update flow showed no AI assistance in the recorded session — no drafting, summaries, or smart actions on check-ins.

Availability and limits: One recorded session. Capabilities not found in the session may exist in other plans or via Rovo features we did not exercise.

Conversational assistant: 3.0/5

Asked to summarize progress on the goal created minutes earlier, Rovo located the record and reported its owner, status, and dates correctly, describing the record's actual state rather than inventing results.

Availability and limits: One prompt in one session. Depth across metrics, check-in history, and multi-goal questions was not assessed.

MCP & agent interoperability: 2.0/5

Atlassian's Rovo MCP server can expose workspace data, including goals, to external AI assistants. It was not connected during the recorded session, and the evaluator noted the setup is demanding.

Availability and limits: Not connected in the session — scoring reflects documented availability acknowledged by the evaluator, not a verified goals read or write over MCP.

AI goal setting: 0.0/5

Goal and success-measure creation is entirely manual, form by form, with no AI drafting or import found in the recorded session.

Availability and limits: One recorded session. Capabilities not found in the session may exist in other plans or workflows.

Core OKR foundation: 2.0/5

Goals with owned success measures, baselines, manual statuses, and discussable updates exist, but the session recorded real gaps — measures built through separate forms with hand-set dates, work linked by pasted URL, a progress graph that drew a flat target line until a start date was added, and no maps or generated reporting.

Availability and limits: One recorded session focused on the shared scenario. Strategy Collection capabilities were not assessed.

Betterworks · 3/6 criteria scored

Reviewed 2026-09-11. Connectivity evidence: not verified.

AI-category assessment only. Existing platform-level numeric ratings are unchanged. Sources describe available scope; only explicitly referenced session observations were exercised.

In-product agents: 1.0/5

Goal Assist creates goals and milestones as a bounded user-triggered action.

Availability and limits: Documentation only; confirm NextGen enrollment and administrative AI settings. No MCP or conversational OKR assistant established in this review.

AI check-ins & smart actions: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Documentation only; confirm NextGen enrollment and administrative AI settings. No MCP or conversational OKR assistant established in this review.

Conversational assistant: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Documentation only; confirm NextGen enrollment and administrative AI settings. No MCP or conversational OKR assistant established in this review.

MCP & agent interoperability: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Documentation only; confirm NextGen enrollment and administrative AI settings. No MCP or conversational OKR assistant established in this review.

AI goal setting: 3.0/5

NextGen describes context-aware goals and milestones, superseding the older goal-only limitation.

Availability and limits: Documentation only; confirm NextGen enrollment and administrative AI settings. No MCP or conversational OKR assistant established in this review.

Core OKR foundation: 3.0/5

Reviewed documentation covers goals, measurable milestones and goal history/context; broader lifecycle coverage needs further review.

Availability and limits: Documentation only; confirm NextGen enrollment and administrative AI settings. No MCP or conversational OKR assistant established in this review.

Cascade · 3/6 criteria scored

Reviewed 2026-09-11. Connectivity evidence: not verified.

AI-category assessment only. Existing platform-level numeric ratings are unchanged. Sources describe available scope; only explicitly referenced session observations were exercised.

In-product agents: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Documentation only. Confirm Tapestry access and plan; strategy analysis does not establish goal creation or autonomous agents.

AI check-ins & smart actions: 3.0/5

Tapestry describes portfolio health analysis and synthesized strategic insights.

Availability and limits: Documentation only. Confirm Tapestry access and plan; strategy analysis does not establish goal creation or autonomous agents.

Conversational assistant: 3.0/5

Custom prompts interrogate workspace qualitative and quantitative data; record-writing conversation not established.

Availability and limits: Documentation only. Confirm Tapestry access and plan; strategy analysis does not establish goal creation or autonomous agents.

MCP & agent interoperability: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Documentation only. Confirm Tapestry access and plan; strategy analysis does not establish goal creation or autonomous agents.

AI goal setting: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Documentation only. Confirm Tapestry access and plan; strategy analysis does not establish goal creation or autonomous agents.

Core OKR foundation: 3.0/5

Reviewed strategy page establishes goals, metrics and portfolio analysis; full check-in lifecycle needs additional evidence.

Availability and limits: Documentation only. Confirm Tapestry access and plan; strategy analysis does not establish goal creation or autonomous agents.

Jira Align · 1/6 criteria scored

Reviewed 2026-09-11. Connectivity evidence: not verified.

AI-category assessment only. Existing platform-level numeric ratings are unchanged. Sources describe available scope; only explicitly referenced session observations were exercised.

In-product agents: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Rovo skill is described as early access, not assumed generally available. A third-party Jira connector or Atlassian-wide MCP does not prove Jira Align MCP coverage.

AI check-ins & smart actions: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Rovo skill is described as early access, not assumed generally available. A third-party Jira connector or Atlassian-wide MCP does not prove Jira Align MCP coverage.

Conversational assistant: Not scored

Official announcement describes natural-language Align queries in Rovo early access. General availability and in-product placement are not established.

Availability and limits: Rovo skill is described as early access, not assumed generally available. A third-party Jira connector or Atlassian-wide MCP does not prove Jira Align MCP coverage.

MCP & agent interoperability: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Rovo skill is described as early access, not assumed generally available. A third-party Jira connector or Atlassian-wide MCP does not prove Jira Align MCP coverage.

AI goal setting: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Rovo skill is described as early access, not assumed generally available. A third-party Jira connector or Atlassian-wide MCP does not prove Jira Align MCP coverage.

Core OKR foundation: 3.0/5

Official announcement describes Align objectives, key results and strategic progress data; deeper lifecycle evidence is outside this review.

Availability and limits: Rovo skill is described as early access, not assumed generally available. A third-party Jira connector or Atlassian-wide MCP does not prove Jira Align MCP coverage.

JOP · 3/6 criteria scored

Reviewed 2026-09-11. Connectivity evidence: not verified.

AI-category assessment only. Existing platform-level numeric ratings are unchanged. Sources describe available scope; only explicitly referenced session observations were exercised.

In-product agents: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Vendor marketing documentation only; plan, rollout and observed output quality need confirmation.

AI check-ins & smart actions: 3.0/5

Vendor describes AI progress insights and recommendations; autonomous writes not established.

Availability and limits: Vendor marketing documentation only; plan, rollout and observed output quality need confirmation.

Conversational assistant: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Vendor marketing documentation only; plan, rollout and observed output quality need confirmation.

MCP & agent interoperability: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Vendor marketing documentation only; plan, rollout and observed output quality need confirmation.

AI goal setting: 3.0/5

Vendor describes contextual OKR suggestions and measurable goal planning.

Availability and limits: Vendor marketing documentation only; plan, rollout and observed output quality need confirmation.

Core OKR foundation: 3.0/5

Product describes OKR progress, alignment and analytics; detailed cadence/governance not verified.

Availability and limits: Vendor marketing documentation only; plan, rollout and observed output quality need confirmation.

Lattice · 4/6 criteria scored

Reviewed 2026-09-11. Connectivity evidence: not verified.

AI-category assessment only. Existing platform-level numeric ratings are unchanged. Sources describe available scope; only explicitly referenced session observations were exercised.

In-product agents: 2.0/5

Documented assistant actions include employee-goal updates and reminders; recurring delegated execution not established.

Availability and limits: Documentation only; confirm AI Agent rollout, plan and data permissions. Do not extrapolate performance-review AI to unverified goal-creation capabilities.

AI check-ins & smart actions: 3.0/5

Documented goal summaries identify stalled goals, risks and alignment.

Availability and limits: Documentation only; confirm AI Agent rollout, plan and data permissions. Do not extrapolate performance-review AI to unverified goal-creation capabilities.

Conversational assistant: 3.0/5

Agent answers natural-language questions using people and goals data.

Availability and limits: Documentation only; confirm AI Agent rollout, plan and data permissions. Do not extrapolate performance-review AI to unverified goal-creation capabilities.

MCP & agent interoperability: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Documentation only; confirm AI Agent rollout, plan and data permissions. Do not extrapolate performance-review AI to unverified goal-creation capabilities.

AI goal setting: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Documentation only; confirm AI Agent rollout, plan and data permissions. Do not extrapolate performance-review AI to unverified goal-creation capabilities.

Core OKR foundation: 3.0/5

Reviewed pages establish goals, ownership, progress and review context, without a full OKR governance assessment.

Availability and limits: Documentation only; confirm AI Agent rollout, plan and data permissions. Do not extrapolate performance-review AI to unverified goal-creation capabilities.

Leapsome · 4/6 criteria scored

Reviewed 2026-09-11. Connectivity evidence: not verified.

AI-category assessment only. Existing platform-level numeric ratings are unchanged. Sources describe available scope; only explicitly referenced session observations were exercised.

In-product agents: 1.0/5

AI supports user-directed goal creation; recurring agent execution was not established.

Availability and limits: Documentation only. Admin must enable AI; availability varies by module/settings. Conversational credit is limited to the documented planning workflow.

AI check-ins & smart actions: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Documentation only. Admin must enable AI; availability varies by module/settings. Conversational credit is limited to the documented planning workflow.

Conversational assistant: 2.0/5

Goal creation is documented as conversational; workspace-wide progress Q&A is not established.

Availability and limits: Documentation only. Admin must enable AI; availability varies by module/settings. Conversational credit is limited to the documented planning workflow.

MCP & agent interoperability: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Documentation only. Admin must enable AI; availability varies by module/settings. Conversational credit is limited to the documented planning workflow.

AI goal setting: 3.0/5

Admin-enabled AI suggests objectives, measurable KRs and initiatives.

Availability and limits: Documentation only. Admin must enable AI; availability varies by module/settings. Conversational credit is limited to the documented planning workflow.

Core OKR foundation: 3.0/5

Goal documentation establishes ownership, measurable results and alignment; deeper review workflows were not examined.

Availability and limits: Documentation only. Admin must enable AI; availability varies by module/settings. Conversational credit is limited to the documented planning workflow.

Mooncamp · 5/6 criteria scored

Reviewed 2026-09-11. Connectivity evidence: not verified.

AI-category assessment with a benchmark-owner correction on 2026-09-11 confirming no native AI features. This confirmation is separate from the original exploratory session; no new product test was performed. Existing platform-level numeric ratings are unchanged.

In-product agents: 0.0/5

Confirmed unavailable: the benchmark owner confirms no native AI features. Zero applies to this AI capability, rather than an unknown inferred from the trial.

Availability and limits: Owner-supplied confirmation dated 2026-09-11. It does not establish the absence of an ordinary API or external MCP connectivity.

  • Evaluator confirmation: The benchmark owner confirmed that Mooncamp and Weekdone have no AI features. This is an editorial correction supplied after the exploratory evaluations, not vendor documentation or a new test. · checked 2026-09-11

AI check-ins & smart actions: 0.0/5

Confirmed unavailable: the benchmark owner confirms no native AI features. Zero applies to this AI capability, rather than an unknown inferred from the trial.

Availability and limits: Owner-supplied confirmation dated 2026-09-11. It does not establish the absence of an ordinary API or external MCP connectivity.

  • Evaluator confirmation: The benchmark owner confirmed that Mooncamp and Weekdone have no AI features. This is an editorial correction supplied after the exploratory evaluations, not vendor documentation or a new test. · checked 2026-09-11

Conversational assistant: 0.0/5

Confirmed unavailable: the benchmark owner confirms no native AI features. Zero applies to this AI capability, rather than an unknown inferred from the trial.

Availability and limits: Owner-supplied confirmation dated 2026-09-11. It does not establish the absence of an ordinary API or external MCP connectivity.

  • Evaluator confirmation: The benchmark owner confirmed that Mooncamp and Weekdone have no AI features. This is an editorial correction supplied after the exploratory evaluations, not vendor documentation or a new test. · checked 2026-09-11

MCP & agent interoperability: Not scored

No native AI does not establish the absence of an ordinary API or an external MCP route. Connectivity remains unscored pending separate evidence.

Availability and limits: The owner correction concerns native AI features. The recorded session did not establish external agent interoperability.

AI goal setting: 0.0/5

Confirmed unavailable: the benchmark owner confirms no native AI features. Zero applies to this AI capability, rather than an unknown inferred from the trial.

Availability and limits: Owner-supplied confirmation dated 2026-09-11. It does not establish the absence of an ordinary API or external MCP connectivity.

  • Evaluator confirmation: The benchmark owner confirmed that Mooncamp and Weekdone have no AI features. This is an editorial correction supplied after the exploratory evaluations, not vendor documentation or a new test. · checked 2026-09-11

Core OKR foundation: 4.0/5

Documentation and trial establish owners, cycles, alignment and configurable progress; the trial also records check-in history and dashboards.

Availability and limits: Foundational OKR capability is scored independently of AI availability; the recorded session was exploratory.

Oboard · 3/6 criteria scored

Reviewed 2026-09-11. Connectivity evidence: vendor mcp.

AI-category assessment only. Existing platform-level numeric ratings are unchanged. Sources describe available scope; only explicitly referenced session observations were exercised.

In-product agents: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Documentation only. MCP-powered ChatGPT/Claude interactions are external; in-product assistant and write coverage remain unverified. Confirm applicable Oboard product and plan.

AI check-ins & smart actions: 3.0/5

External AI skills describe progress summaries, engagement reports and alignment analysis.

Availability and limits: Documentation only. MCP-powered ChatGPT/Claude interactions are external; in-product assistant and write coverage remain unverified. Confirm applicable Oboard product and plan.

Conversational assistant: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Documentation only. MCP-powered ChatGPT/Claude interactions are external; in-product assistant and write coverage remain unverified. Confirm applicable Oboard product and plan.

MCP & agent interoperability: 3.0/5

Vendor offers workspace MCP connection instructions and goal-context skills; documented examples establish reads, not a broad write lifecycle.

Availability and limits: Documentation only. MCP-powered ChatGPT/Claude interactions are external; in-product assistant and write coverage remain unverified. Confirm applicable Oboard product and plan.

AI goal setting: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Documentation only. MCP-powered ChatGPT/Claude interactions are external; in-product assistant and write coverage remain unverified. Confirm applicable Oboard product and plan.

Core OKR foundation: 4.0/5

Product documents goal alignment, check-ins, history, reminders and progress dashboards.

Availability and limits: Documentation only. MCP-powered ChatGPT/Claude interactions are external; in-product assistant and write coverage remain unverified. Confirm applicable Oboard product and plan.

OKRs Tool · 6/6 criteria scored

Reviewed 2026-09-11. Connectivity evidence: vendor mcp.

AI-category assessment only. Existing platform-level numeric ratings are unchanged. Sources describe available scope; only explicitly referenced session observations were exercised.

In-product agents: 1.0/5

AI import is a bounded user-triggered creation action; broader agent autonomy is not established by the reviewed evidence.

Availability and limits: Vendor says MCP is available on all plans. Trial did not test MCP; one grounding failure does not prove all coach responses fail. AI tracking remains unverified.

AI check-ins & smart actions: 1.0/5

The session asked the coach for focus advice and received an answer that failed to recognize existing KRs; update reliability remains untested.

Availability and limits: Vendor says MCP is available on all plans. Trial did not test MCP; one grounding failure does not prove all coach responses fail. AI tracking remains unverified.

Conversational assistant: 1.0/5

The recorded coach answer was ungrounded despite existing records, limiting credit for that observed conversation.

Availability and limits: Vendor says MCP is available on all plans. Trial did not test MCP; one grounding failure does not prove all coach responses fail. AI tracking remains unverified.

MCP & agent interoperability: 3.0/5

Vendor documents authenticated MCP read and check-in/write access; it was not connected in the trial.

Availability and limits: Vendor says MCP is available on all plans. Trial did not test MCP; one grounding failure does not prove all coach responses fail. AI tracking remains unverified.

AI goal setting: 2.0/5

AI import created goal records but misread baseline/target values in the session.

Availability and limits: Vendor says MCP is available on all plans. Trial did not test MCP; one grounding failure does not prove all coach responses fail. AI tracking remains unverified.

Core OKR foundation: 3.0/5

Session established goal structure, ownership, check-ins and progress views, with workflow limitations.

Availability and limits: Vendor says MCP is available on all plans. Trial did not test MCP; one grounding failure does not prove all coach responses fail. AI tracking remains unverified.

Peoplebox · 2/6 criteria scored

Reviewed 2026-09-11. Connectivity evidence: not verified.

AI-category assessment only. Existing platform-level numeric ratings are unchanged. Sources describe available scope; only explicitly referenced session observations were exercised.

In-product agents: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Documentation only; goal-specific AI scoring excludes unrelated recruitment and talent AI. Plan restrictions not established.

AI check-ins & smart actions: 3.0/5

Product page describes AI summaries covering progress, blockers and wins.

Availability and limits: Documentation only; goal-specific AI scoring excludes unrelated recruitment and talent AI. Plan restrictions not established.

Conversational assistant: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Documentation only; goal-specific AI scoring excludes unrelated recruitment and talent AI. Plan restrictions not established.

MCP & agent interoperability: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Documentation only; goal-specific AI scoring excludes unrelated recruitment and talent AI. Plan restrictions not established.

AI goal setting: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Documentation only; goal-specific AI scoring excludes unrelated recruitment and talent AI. Plan restrictions not established.

Core OKR foundation: 4.0/5

Product describes cascading goals, check-ins, business reviews and connected progress.

Availability and limits: Documentation only; goal-specific AI scoring excludes unrelated recruitment and talent AI. Plan restrictions not established.

Perdoo · 6/6 criteria scored

Reviewed 2026-09-11. Connectivity evidence: vendor mcp.

AI-category assessment only. Existing platform-level numeric ratings are unchanged. Sources describe available scope; only explicitly referenced session observations were exercised.

In-product agents: 1.0/5

The observed importer creates goal records in a bounded user-triggered workflow. Broader autonomous execution was not established.

Availability and limits: No MCP session was run. Vince provides general coaching; workspace-aware AI Chat Assistant is coming soon. AI token limits depend on plan. External conversation does not earn in-product credit.

AI check-ins & smart actions: 3.0/5

Release notes document contextual AI progress-comment drafts using history and sub-goals; MCP also supports progress updates.

Availability and limits: No MCP session was run. Vince provides general coaching; workspace-aware AI Chat Assistant is coming soon. AI token limits depend on plan. External conversation does not earn in-product credit.

Conversational assistant: 1.0/5

Vince is a shipped in-app coaching conversation grounded in Perdoo resources. Workspace-aware AI Chat Assistant remains coming soon; external MCP access is not in-app conversation.

Availability and limits: No MCP session was run. Vince provides general coaching; workspace-aware AI Chat Assistant is coming soon. AI token limits depend on plan. External conversation does not earn in-product credit.

MCP & agent interoperability: 4.0/5

Hosted MCP supports authenticated reading, goal creation, progress updates and notes. External clients must be configured separately.

Availability and limits: No MCP session was run. Vince provides general coaching; workspace-aware AI Chat Assistant is coming soon. AI token limits depend on plan. External conversation does not earn in-product credit.

AI goal setting: 3.0/5

Recorded AI importer created the scenario structure; MCP additionally supports goal drafts and creation.

Availability and limits: No MCP session was run. Vince provides general coaching; workspace-aware AI Chat Assistant is coming soon. AI token limits depend on plan. External conversation does not earn in-product credit.

Core OKR foundation: 4.0/5

Session records alignment, owners, check-ins, history and dashboards.

Availability and limits: No MCP session was run. Vince provides general coaching; workspace-aware AI Chat Assistant is coming soon. AI token limits depend on plan. External conversation does not earn in-product credit.

Profit.co · 6/6 criteria scored

Reviewed 2026-09-11. Connectivity evidence: vendor mcp.

AI-category assessment only. Existing platform-level numeric ratings are unchanged. Sources describe available scope; only explicitly referenced session observations were exercised.

In-product agents: 1.0/5

Documented AI goal authoring is a bounded user-triggered creation workflow; the Answer Agent alone does not establish autonomous execution.

Availability and limits: AI was blocked in the recorded trial by configuration/access; documentation supplies capability evidence, not observed reliability. Confirm Athena enablement, model-key requirements and plan entitlement.

AI check-ins & smart actions: 3.0/5

Athena documentation describes performance summaries and execution insights; recurring autonomous operation was not established.

Availability and limits: AI was blocked in the recorded trial by configuration/access; documentation supplies capability evidence, not observed reliability. Confirm Athena enablement, model-key requirements and plan entitlement.

Conversational assistant: 3.0/5

Answer Agent is documented inside Athena AI Chat, grounded in OKRs, KPIs, tasks and initiatives.

Availability and limits: AI was blocked in the recorded trial by configuration/access; documentation supplies capability evidence, not observed reliability. Confirm Athena enablement, model-key requirements and plan entitlement.

MCP & agent interoperability: 4.0/5

Official integrations describe MCP creation, updates, check-ins and task management through external assistants. Current setup guide documents OAuth with the hosted endpoint.

Availability and limits: AI was blocked in the recorded trial by configuration/access; documentation supplies capability evidence, not observed reliability. Confirm Athena enablement, model-key requirements and plan entitlement.

AI goal setting: 3.0/5

Vendor documents AI goal authoring. The trial could not access the AI workflow.

Availability and limits: AI was blocked in the recorded trial by configuration/access; documentation supplies capability evidence, not observed reliability. Confirm Athena enablement, model-key requirements and plan entitlement.

Core OKR foundation: 4.0/5

Recorded trial established alignment, ownership, check-ins and reporting.

Availability and limits: AI was blocked in the recorded trial by configuration/access; documentation supplies capability evidence, not observed reliability. Confirm Athena enablement, model-key requirements and plan entitlement.

Range · 5/6 criteria scored

Reviewed 2026-09-13. Connectivity evidence: not verified.

AI-category assessment from the recorded exploratory evaluation of Range on 2026-09-13. No AI surface was found in the trial session, and no separate vendor documentation review was performed for AI capabilities.

In-product agents: 0.0/5

No agent, assistant, or AI surface of any kind was found in the product or its settings during the recorded session.

Availability and limits: A short exploratory session on a Pro trial. Capabilities not found in the session may exist in other plans or workflows.

AI check-ins & smart actions: 0.0/5

Check-ins and status updates showed no AI assistance, drafting, or smart actions in the recorded session.

Availability and limits: A short exploratory session on a Pro trial. Capabilities not found in the session may exist in other plans or workflows.

Conversational assistant: 0.0/5

No conversational assistant was found in the product or its settings during the recorded session.

Availability and limits: A short exploratory session on a Pro trial. Capabilities not found in the session may exist in other plans or workflows.

MCP & agent interoperability: Not scored

MCP availability was not verified in the session, and no documentation review was performed for this criterion. Unknown is recorded as unknown rather than zero.

Availability and limits: Not assessed beyond the recorded session. Vendor documentation may describe connectivity this assessment does not cover.

AI goal setting: 0.0/5

Goal creation is a manual form — title, hashtag, owner — with no AI drafting or import found in the recorded session.

Availability and limits: A short exploratory session on a Pro trial. Capabilities not found in the session may exist in other plans or workflows.

Core OKR foundation: 1.0/5

The recorded session establishes goals with owners, sub-goals, statuses and update notes, but no key results, no metric baselines (metrics start at zero), no progress charts, and no comment threads on updates.

Availability and limits: A short exploratory session that ended early once the goal model made the shared OKR scenario impractical. Range's check-in and meeting workflows were only briefly explored.

Rhythms.ai · 6/6 criteria scored

Reviewed 2026-09-11. Connectivity evidence: mcp client.

AI-category assessment only. Existing platform-level numeric ratings are unchanged. Sources describe available scope; only explicitly referenced session observations were exercised.

In-product agents: 2.0/5

Observed setup created a team, objective, KRs and initiative with confirmation; broader autonomous cycles were not exercised.

Availability and limits: Free-plan evaluation had limited AI credits. MS Teams page has a notify-me CTA, so its rollout must be confirmed. The recorded setup was an alternative task, not the standard write prompt.

AI check-ins & smart actions: 3.0/5

The session found AI data-source auto-update configuration; recurring operation was not verified.

Availability and limits: Free-plan evaluation had limited AI credits. MS Teams page has a notify-me CTA, so its rollout must be confirmed. The recorded setup was an alternative task, not the standard write prompt.

Conversational assistant: 3.0/5

Observed setup conversation used workspace state; no standard summary prompt was attempted.

Availability and limits: Free-plan evaluation had limited AI credits. MS Teams page has a notify-me CTA, so its rollout must be confirmed. The recorded setup was an alternative task, not the standard write prompt.

MCP & agent interoperability: 2.0/5

Public page describes consuming custom MCP integrations. It does not establish a vendor-hosted MCP endpoint.

Availability and limits: Free-plan evaluation had limited AI credits. MS Teams page has a notify-me CTA, so its rollout must be confirmed. The recorded setup was an alternative task, not the standard write prompt.

AI goal setting: 3.0/5

Conversational setup created measurable KRs; a decreasing target type required manual correction.

Availability and limits: Free-plan evaluation had limited AI credits. MS Teams page has a notify-me CTA, so its rollout must be confirmed. The recorded setup was an alternative task, not the standard write prompt.

Core OKR foundation: 4.0/5

Session records alignment, ownership, configurable cadence, history and coverage reports.

Availability and limits: Free-plan evaluation had limited AI credits. MS Teams page has a notify-me CTA, so its rollout must be confirmed. The recorded setup was an alternative task, not the standard write prompt.

Tability · 6/6 criteria scored

Reviewed 2026-09-11. Connectivity evidence: vendor mcp.

AI-category assessment only. Existing platform-level numeric ratings are unchanged. Sources describe available scope; only explicitly referenced session observations were exercised.

In-product agents: 4.0/5

Native agents and recurring work are vendor-described; controls and delegated execution support broad capability, without end-to-end independent validation.

Availability and limits: Tability operates this benchmark. AI-mode page says rolling out; access and credits depend on plan/settings. The Agent Workforce Manager is documented as an open beta for eligible workspaces, and recurring agent execution depends on the connected AI host. Agent and MCP workflows were not comprehensively exercised.

AI check-ins & smart actions: 4.0/5

Vendor describes activity-based check-ins and scheduled reports; recurring output quality was not tested.

Availability and limits: Tability operates this benchmark. AI-mode page says rolling out; access and credits depend on plan/settings. Agent and MCP workflows were not comprehensively exercised.

Conversational assistant: 4.0/5

Workspace strategy question was answered in the session. Vendor describes conversational record actions; this was not the standard summary prompt.

Availability and limits: Tability operates this benchmark. AI-mode page says rolling out; access and credits depend on plan/settings. Agent and MCP workflows were not comprehensively exercised.

MCP & agent interoperability: 4.0/5

Vendor-hosted MCP documents goal, plan and task operations. Full permission and audit behavior was not exercised.

Availability and limits: Tability operates this benchmark. AI-mode page says rolling out; access and credits depend on plan/settings. Agent and MCP workflows were not comprehensively exercised.

AI goal setting: 4.0/5

The recorded import preserved the sales plan structure; contextual editing is documented. One import does not establish universal fidelity.

Availability and limits: Tability operates this benchmark. AI-mode page says rolling out; access and credits depend on plan/settings. Agent and MCP workflows were not comprehensively exercised.

Core OKR foundation: 4.0/5

Session records ownership, alignment, check-ins, history and reporting; extended governance was not evaluated.

Availability and limits: Tability operates this benchmark. AI-mode page says rolling out; access and credits depend on plan/settings. Agent and MCP workflows were not comprehensively exercised.

Teamflect · 5/6 criteria scored

Reviewed 2026-09-11. Connectivity evidence: not verified.

AI-category assessment only. Existing platform-level numeric ratings are unchanged. Sources describe available scope; only explicitly referenced session observations were exercised.

In-product agents: 1.0/5

AI-assisted goal description/development-goal creation is a bounded user-directed workflow.

Availability and limits: Documentation only. Microsoft environment and relevant AI entitlement required; in-product goal conversation and MCP not established. The vendor's plans tier the AI Agent: limited on Essential, unlimited on Professional.

AI check-ins & smart actions: 3.0/5

Vendor describes AI risk identification alongside automated check-in reminders; reminders alone are not AI.

Availability and limits: Documentation only. Microsoft environment and relevant AI entitlement required; in-product goal conversation and MCP not established. The vendor's plans tier the AI Agent: limited on Essential, unlimited on Professional.

Conversational assistant: 1.0/5

An Ask AI assistant exists in the product, but in the recorded session it answered our standard summary prompt with guesses — "it likely focuses on…" with invented suggested outcomes — and then stated it could not find the objective in the current Teamflect goals data, despite the objective, its check-in, and its key results existing in the workspace.

Availability and limits: One prompt on a trial workspace via the Microsoft Teams app. Grounding may behave differently on other plans, entitlements, or the web app.

MCP & agent interoperability: Not scored

The reviewed sources do not establish enough detail to score this criterion. This is an evidence gap, not a finding of absence.

Availability and limits: Documentation only. Microsoft environment and relevant AI entitlement required; in-product goal conversation and MCP not established. The vendor's plans tier the AI Agent: limited on Essential, unlimited on Professional.

AI goal setting: 3.0/5

AI generates goal descriptions and development goals using review/feedback data.

Availability and limits: Documentation only. Microsoft environment and relevant AI entitlement required; in-product goal conversation and MCP not established. The vendor's plans tier the AI Agent: limited on Essential, unlimited on Professional.

Core OKR foundation: 4.0/5

Documented cascading goals, ownership, progress, Teams check-ins and review integration.

Availability and limits: Documentation only. Microsoft environment and relevant AI entitlement required; in-product goal conversation and MCP not established. The vendor's plans tier the AI Agent: limited on Essential, unlimited on Professional.

Weekdone · 5/6 criteria scored

Reviewed 2026-09-11. Connectivity evidence: not verified.

AI-category assessment with a benchmark-owner correction on 2026-09-11 confirming no native AI features. This confirmation is separate from the original exploratory session; no new product test was performed. Existing platform-level numeric ratings are unchanged.

In-product agents: 0.0/5

Confirmed unavailable: the benchmark owner confirms no native AI features. Zero applies to this AI capability, rather than an unknown inferred from the trial.

Availability and limits: Owner-supplied confirmation dated 2026-09-11. It does not establish the absence of an ordinary API or external MCP connectivity.

  • Evaluator confirmation: The benchmark owner confirmed that Mooncamp and Weekdone have no AI features. This is an editorial correction supplied after the exploratory evaluations, not vendor documentation or a new test. · checked 2026-09-11

AI check-ins & smart actions: 0.0/5

Confirmed unavailable: the benchmark owner confirms no native AI features. Zero applies to this AI capability, rather than an unknown inferred from the trial.

Availability and limits: Owner-supplied confirmation dated 2026-09-11. It does not establish the absence of an ordinary API or external MCP connectivity.

  • Evaluator confirmation: The benchmark owner confirmed that Mooncamp and Weekdone have no AI features. This is an editorial correction supplied after the exploratory evaluations, not vendor documentation or a new test. · checked 2026-09-11

Conversational assistant: 0.0/5

Confirmed unavailable: the benchmark owner confirms no native AI features. Zero applies to this AI capability, rather than an unknown inferred from the trial.

Availability and limits: Owner-supplied confirmation dated 2026-09-11. It does not establish the absence of an ordinary API or external MCP connectivity.

  • Evaluator confirmation: The benchmark owner confirmed that Mooncamp and Weekdone have no AI features. This is an editorial correction supplied after the exploratory evaluations, not vendor documentation or a new test. · checked 2026-09-11

MCP & agent interoperability: Not scored

No native AI does not establish the absence of an ordinary API or an external MCP route. Connectivity remains unscored pending separate evidence.

Availability and limits: The owner correction concerns native AI features. The recorded session did not establish external agent interoperability.

AI goal setting: 0.0/5

Confirmed unavailable: the benchmark owner confirms no native AI features. Zero applies to this AI capability, rather than an unknown inferred from the trial.

Availability and limits: Owner-supplied confirmation dated 2026-09-11. It does not establish the absence of an ordinary API or external MCP connectivity.

  • Evaluator confirmation: The benchmark owner confirmed that Mooncamp and Weekdone have no AI features. This is an editorial correction supplied after the exploratory evaluations, not vendor documentation or a new test. · checked 2026-09-11

Core OKR foundation: 4.0/5

Product and recorded trial establish goal hierarchy, weekly updates, initiatives and reporting.

Availability and limits: Foundational OKR capability is scored independently of AI availability; the recorded session was exploratory.

WorkBoard · 6/6 criteria scored

Reviewed 2026-09-11. Connectivity evidence: vendor mcp.

AI-category assessment only. Existing platform-level numeric ratings are unchanged. Sources describe available scope; only explicitly referenced session observations were exercised.

In-product agents: 4.0/5

Gen3 describes proactive OKR reviews and delegated multi-step work with editable outputs.

Availability and limits: Documentation only; no recorded product evaluation. MCP subscription/CSM enablement required. Gen3 is described as live; Portfolio Analyst is early access and SPM is an additional module, not assumed included.

AI check-ins & smart actions: 4.0/5

Documented connected KR progress, proactive quality flags and generated business reviews support broad coverage.

Availability and limits: Documentation only; no recorded product evaluation. MCP subscription/CSM enablement required. Gen3 is described as live; Portfolio Analyst is early access and SPM is an additional module, not assumed included.

Conversational assistant: 4.0/5

Documented chat reads and edits KRs, KPIs and actions with workspace context.

Availability and limits: Documentation only; no recorded product evaluation. MCP subscription/CSM enablement required. Gen3 is described as live; Portfolio Analyst is early access and SPM is an additional module, not assumed included.

MCP & agent interoperability: 4.0/5

Vendor-hosted MCP documents bidirectional access across OKRs, KPIs, meetings and actions; external MCP consumption is also documented.

Availability and limits: Documentation only; no recorded product evaluation. MCP subscription/CSM enablement required. Gen3 is described as live; Portfolio Analyst is early access and SPM is an additional module, not assumed included.

AI goal setting: 4.0/5

Conversational drafting uses prior OKRs and peer alignment, with review before publication.

Availability and limits: Documentation only; no recorded product evaluation. MCP subscription/CSM enablement required. Gen3 is described as live; Portfolio Analyst is early access and SPM is an additional module, not assumed included.

Core OKR foundation: 4.0/5

Documented OKRs, team alignment, connected progress, scorecards and business reviews support broad foundational coverage.

Availability and limits: Documentation only; no recorded product evaluation. MCP subscription/CSM enablement required. Gen3 is described as live; Portfolio Analyst is early access and SPM is an additional module, not assumed included.

How to choose in this category

Compare the documented workflow and plan you would actually use. A product can offer useful AI without enough public evidence for every criterion in this assessment.

Different routes to AI assistance

In-product agents execute work in the application. In-product conversational assistants answer or act using the available context. External assistants can connect through a vendor-hosted MCP server, a third-party connector or an ordinary API. Consuming external MCP tools is a different capability from hosting a server.

Perdoo documents a hosted MCP server and AI-assisted progress comments. Its Vince coach provides general in-app guidance, while its workspace-aware Chat Assistant is listed as coming soon. Rhythms documents consumption of external MCP tools; a vendor-hosted endpoint remains unverified.

Observed behavior and documented scope

The recorded sessions preserve Tability’s import and strategy question, Rhythms’ setup conversation, and OKRs Tool’s grounding failure. These were different tasks, not a controlled comparison of identical prompts.

WorkBoard documents Gen3 agents, conversational edits and MCP. Tability documents native agents, AI-mode and MCP. Neither vendor’s documentation establishes universal superiority or independent reliability.

Read incomplete assessments too

The evidence section names every reviewed vendor, the criteria scored and the gaps. Unranked vendors may have relevant capabilities. One short trial or an absent documentation reference cannot establish universal absence.

How we compare

Our scoring focuses specifically on OKR capabilities. If a platform offers OKRs alongside other features (like performance management or project management), we evaluate how well it handles OKRs specifically, not its full feature set.

In-product agents20%
AI check-ins & smart actions20%
Core OKR foundation20%
Conversational assistant15%
MCP & agent interoperability15%
AI goal setting10%
How much each criterion counts toward the category score. Weights sum to 100%.

In-product agents

20%

Agents that do real OKR work, not just answer questions.

AI check-ins & smart actions

20%

Automated progress updates and data-driven actions.

Conversational assistant

15%

An in-product LLM you can query about goals and progress.

MCP & agent interoperability

15%

Letting YOUR AI stack operate the platform.

AI goal setting

10%

AI support for drafting quality goals.

Core OKR foundation

20%

The execution base the AI operates on.

Scores in detail

PlatformAI features scoreIn-product agentsAI check-ins & smart actionsConversational assistantMCP & agent interoperabilityAI goal settingCore OKR foundationPricing
Top pickTability
4.0
4
4
4
4
4
4
$6/user/month
Top pickWorkBoard
4.0
4
4
4
4
4
4
Est. $30/user/month
Profit.co
3.0
1
3
3
4
3
4
Est. $9/user/month
Rhythms.ai
2.8
2
3
3
2
3
4
Est. $22/user/month
Perdoo
2.7
1
3
1
4
3
4
$9/user/month
OKRs Tool
1.8
1
1
1
3
2
3
$49/flat fee
Atlassian Goals
1.6
2
0
3
2
0
2
Free/user/month

Download the data behind this comparison — versioned JSON/CSV, free to reuse with attribution.

Frequently asked questions

What is the best OKR software with ai features?

Tability and WorkBoard share first place among 7 scored active platforms, with a 4.0/5 ai features score, ahead of Profit.co (3.0/5) and Rhythms.ai (2.8/5).

How are tools ranked in the Best OKR software with AI features comparison?

We weight criteria specific to this use case, with the strongest emphasis on In-product agents (20%) and AI check-ins & smart actions (20%), then calculate the separately labeled AI features score out of 5. The full scoring model and weights are published on our methodology page.

How many OKR tools with ai features publish their pricing?

4 of the 7 actively maintained platforms in this comparison publish pricing publicly. The median public starting price is $7.50/user/month. Prices distinguish vendor-listed amounts, third-party estimates and quote-only products. Dates refer to individual recorded checks; this pass did not recheck prices.

Last updated September 15, 2026 · release 2026.Q3.2

Tability and WorkBoard share first place among 7 scored active platforms, with a 4.0/5 ai features score, ahead of Profit.co (3.0/5) and Rhythms.ai (2.8/5).

The OKR software buyer report

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