10 customisable OKR examples for Engineering Team
What are Engineering Team OKRs?
The Objective and Key Results (OKR) framework is a simple goal-setting methodology that was introduced at Intel by Andy Grove in the 70s. It became popular after John Doerr introduced it to Google in the 90s, and it's now used by teams of all sizes to set and track ambitious goals at scale.
OKRs are quickly gaining popularity as a goal-setting framework. But, it's not always easy to know how to write your goals, especially if it's your first time using OKRs.
To aid you in setting your goals, we have compiled a collection of OKR examples customized for Engineering Team. Take a look at the templates below for inspiration and guidance.
If you want to learn more about the framework, you can read our OKR guide online.
Building your own Engineering Team OKRs with AI
While we have some examples available, it's likely that you'll have specific scenarios that aren't covered here. You can use our free AI generator below or our more complete goal-setting system to generate your own OKRs.
Feel free to explore our tools:
- Use our free OKR generator
- Use Tability, a complete platform to set and track OKRs and initiatives, including a GPT-4 powered goal generator
Our customisable Engineering Team OKRs examples
We've added many examples of Engineering Team Objectives and Key Results, but we did not stop there. Understanding the difference between OKRs and projects is important, so we also added examples of strategic initiatives that relate to the OKRs.
Hope you'll find this helpful!
1. OKRs to foster continuous improvement on Engineering metrics
Foster continuous improvement on Engineering metrics
Achieve a 10% increase in team's average productivity metrics
Introduce incentives for meeting or surpassing productivity goals- Implement training sessions to improve skills and efficiency
- Optimize workflow by eliminating unnecessary procedures
- Implement weekly trend analysis reports for every team member
- Schedule and distribute weekly trend analysis to each team member
- Establish report templates to track weekly trends for each team
- Automate data collection and trend analysis processes
- Reduce error rates in engineering processes by 15%
- Enhance quality control and testing procedures
- Regularly review and improve existing engineering processes
- Implement training programs to update engineering knowledge and skills
2. OKRs to improve interoperability between data engineering teams
- Improve interoperability between data engineering teams
- Offer biweekly data interoperability training to 90% of data engineering teams
- Identify 90% of data engineering teams for training
- Develop a biweekly interoperability training schedule
- Implement and monitor the data interoperability training
- Reduce cross-team data discrepancies by 50%, ensuring increased data consistency
- Regularly audit and correct data discrepancies across all teams
- Implement a standardized data entry and management process for all teams
- Utilize data synchronization tools for seamless data integration
- Implement standardized data protocols across all teams increasing cross-collaboration by 30%
- Train teams on new standardized protocols
- Identify current data protocols in each team
- Draft and propose unified data protocols
3. OKRs to enhance workflow efficiency and productivity
- Enhance workflow efficiency and productivity
- Implement at least 3 significant improvements identified from the workflow analysis
- Develop strategies to implement these improvements efficiently
- Evaluate success of implemented improvements periodically
- Prioritize the 3 top improvements identified from workflow analysis
- Reduce workflow steps or stages by 10% to streamline operations
- Implement new workflow and analyze for efficiency improvement
- Review and analyze current processes for unnecessary stages
- Develop a revised workflow eliminating redundant steps
- Increase process efficiency by 20% through process re-engineering
- Identify bottlenecks in the current process
- Train staff on newly engineered process
- Develop a streamlined process blueprint
4. OKRs to implement a robust chaos testing system in our production environment
- Implement a robust chaos testing system in our production environment
- Achieve 90% system resilience score post chaos testing and fixing identified vulnerabilities
- Develop resolutions for identified system weaknesses
- Measure system resilience post-fix, aiming for 90% score
- Implement chaos testing to identify system vulnerabilities
- Identify and document 10 potential points of system failure by month-end
- Compile findings into comprehensive document
- Review system for possible vulnerabilities or weaknesses
- Record 10 potential failure points
- Develop and deploy chaos experiments to simulate 50% of identified points of failure
- Implement and execute the chaos experiments
- Design chaos experiments to simulate these failures
- Identify the key potential failure points in the system
5. OKRs to deploy robust reporting platform
- Deploy robust reporting platform
- Identify and integrate relevant data sources into the platform by 50%
- Monitor and adjust integration to achieve 50% completion
- Implement data integration strategies for identified sources
- Identify relevant sources of data for platform integration
- Ensure 95% of platform uptime with efficient maintenance and quick bug resolution
- Develop fast and effective bug resolution processes
- Implement regular system checks and predictive maintenance
- Monitor platform uptime continuously for efficiency
- Achieve user satisfaction rate of 85% through user-friendly design
- Collect user feedback for necessary improvements
- Implement intuitive site navigation and user interface
- Regularly update design based on user feedback
6. OKRs to improve software system design and logging framework expertise
- Improve software system design and logging framework expertise
- Collaborate with senior engineers on at least two software design reviews and provide valuable insights
- Prepare for software design reviews by doing research and gathering relevant information
- Actively participate in software design reviews by asking questions and offering suggestions
- Schedule meetings with senior engineers to discuss software design reviews
- Document and share valuable insights and suggestions with senior engineers after the reviews
- Conduct research on best practices and emerging trends in software system design
- Engage in discussions with industry experts and peers to gather insights on software system design best practices
- Review industry publications and online resources for current best practices in software system design
- Attend relevant conferences and webinars to stay updated on emerging trends in software system design
- Set up alerts and notifications for research papers and articles on software system design
- Implement logging framework in one project and analyze its effectiveness
- Define and implement the desired log messages and their respective levels
- Integrate the chosen logging framework into the project's codebase
- Research and choose a suitable logging framework for the project
- Analyze and measure the impact of the logging framework on project performance and debugging processes
- Successfully complete online course on software system design with a passing grade
7. OKRs to build a robust data pipeline utilizing existing tools
- Build a robust data pipeline utilizing existing tools
- Successfully test and deploy the data pipeline with zero critical defects by the end of week 10
- Deploy the final pipeline by week 10
- Thoroughly debug and test the data pipeline
- Fix identified issues before end of week 9
- Identify and document 100% of necessary features and tools by the end of week 2
- Review product requirements and existing toolsets
- Conduct brainstorming sessions for necessary features
- Document all identified features and tools
- Achieve 75% completion of the data pipeline design and construction by week 6
- Continually review and improve design stages for efficiency
- Allocate resources for swift pipeline design and construction
- Establish milestones and monitor progress each week
8. OKRs to achieve optimal efficiency in engineering operations
- Achieve optimal efficiency in engineering operations
- Lower engineering error rates by 10% through enhanced quality control measures
- Regularly monitor and review error reports
- Conduct regular training for quality control measures
- Implement rigorous testing protocols for every engineering process
- Reduce operation downtime by 20% through improved preventative maintenance procedures
- Implement strict equipment servicing and inspection schedules
- Develop detailed preventative maintenance protocols
- Train personnel in efficient troubleshooting techniques
- Increase operational efficiency by 15% via process improvement initiatives
- Implement new strategies to streamline processes
- Regularly assess and adjust improvements for optimal efficiency
- Identify inefficiencies in current operational procedures
9. OKRs to enhance data engineering capabilities to drive software innovation
- Enhance data engineering capabilities to drive software innovation
- Improve data quality by implementing automated data validation and monitoring processes
- Implement chosen data validation tool
- Research various automated data validation tools
- Regularly monitor and assess data quality
- Enhance software scalability by optimizing data storage and retrieval mechanisms for large datasets
- Optimize SQL queries for faster data retrieval
- Adopt a scalable distributed storage system
- Implement a more efficient database indexing system
- Increase data processing efficiency by optimizing data ingestion pipelines and reducing processing time
- Develop optimization strategies for lagging pipelines
- Implement solutions to reduce data processing time
- Analyze current data ingestion pipelines for efficiency gaps
10. OKRs to improve software engineering skills through effective time management
- Improve software engineering skills through effective time management
- Increase the number of completed coding tasks by 20% each week
- Identify and address any obstacles or challenges that may hinder coding task completion
- Enhance collaboration and communication among team members for efficient task completion
- Provide regular feedback and support to assist in completing coding tasks
- Set clear and achievable coding task goals for each team member
- Improve adherence to project deadlines by delivering work on time in 90% of cases
- Implement effective communication strategies to address obstacles and ensure timely completion
- Set clear and realistic deadlines for each project task
- Prioritize tasks and create a detailed schedule to ensure timely delivery
- Regularly track progress and provide updates to stakeholders to maintain accountability
- Reduce time spent on non-essential activities by 15% during work hours
- Set specific time limits for non-essential tasks to ensure efficient completion
- Prioritize and eliminate non-essential activities based on their impact and importance
- Identify non-essential activities taking up significant time during work hours
- Regularly assess and adjust the allocation of time to non-essential activities as needed
- Attend and actively participate in at least 2 time management workshops or webinars
- Research and identify 2 time management workshops or webinars
- Apply the learned time management techniques in daily activities for improved efficiency
- Take thorough notes during the workshops or webinars for future reference
- Register for the selected workshops or webinars to secure a spot
Engineering Team OKR best practices to boost success
Generally speaking, your objectives should be ambitious yet achievable, and your key results should be measurable and time-bound (using the SMART framework can be helpful). It is also recommended to list strategic initiatives under your key results, as it'll help you avoid the common mistake of listing projects in your KRs.
Here are a couple of best practices extracted from our OKR implementation guide 👇
Tip #1: Limit the number of key results
Having too many OKRs is the #1 mistake that teams make when adopting the framework. The problem with tracking too many competing goals is that it will be hard for your team to know what really matters.
We recommend having 3-4 objectives, and 3-4 key results per objective. A platform like Tability can run audits on your data to help you identify the plans that have too many goals.
Tability's audit dashboard will highlight opportunities to improve OKRsTip #2: Commit to weekly OKR check-ins
Setting good goals can be challenging, but without regular check-ins, your team will struggle to make progress. We recommend that you track your OKRs weekly to get the full benefits from the framework.
Being able to see trends for your key results will also keep yourself honest.
Tability's check-ins will save you hours and increase transparencyTip #3: No more than 2 yellow statuses in a row
Yes, this is another tip for goal-tracking instead of goal-setting (but you'll get plenty of OKR examples above). But, once you have your goals defined, it will be your ability to keep the right sense of urgency that will make the difference.
As a rule of thumb, it's best to avoid having more than 2 yellow/at risk statuses in a row.
Make a call on the 3rd update. You should be either back on track, or off track. This sounds harsh but it's the best way to signal risks early enough to fix things.
How to turn your Engineering Team OKRs in a strategy map
Your quarterly OKRs should be tracked weekly in order to get all the benefits of the OKRs framework. Reviewing progress periodically has several advantages:
- It brings the goals back to the top of the mind
- It will highlight poorly set OKRs
- It will surface execution risks
- It improves transparency and accountability
Spreadsheets are enough to get started. Then, once you need to scale you can use a proper OKR platform to make things easier.
Tability's Strategy Map makes it easy to see all your org's OKRsIf you're not yet set on a tool, you can check out the 5 best OKR tracking templates guide to find the best way to monitor progress during the quarter.
More Engineering Team OKR templates
We have more templates to help you draft your team goals and OKRs.
- OKRs to acquire the company award for exceptional teamwork
- OKRs to boost customer acquisition rates significantly
- OKRs to increase business customer onboarding in customer support
- OKRs to enhance proficiency in handling and developing AWS
- OKRs to enhance performance and efficiency of SharePoint Online Storage service
- OKRs to improve system availability to achieve 999% uptime
OKRs resources
Here are a list of resources to help you adopt the Objectives and Key Results framework.
- To learn: What is the meaning of OKRs
- Blog posts: ODT Blog
- Success metrics: KPIs examples
Create more examples in our app
You can use Tability to create OKRs with AI – and keep yourself accountable 👀
Tability is a unique goal-tracking platform built to save hours at work and help teams stay on top of their goals.
1 Create your workspace
2 Build plans in seconds with AI
3Track your progress