Tability is a cheatcode for goal-driven teams. Set perfect OKRs with AI, stay focused on the work that matters.
What are Engineering OKRs?
The OKR acronym stands for Objectives and Key Results. It's a goal-setting framework that was introduced at Intel by Andy Grove in the 70s, and it became popular after John Doerr introduced it to Google in the 90s. OKRs helps teams has a shared language to set ambitious goals and track progress towards them.
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. 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.
The best tools for writing perfect Engineering OKRs
Here are 2 tools that can help you draft your OKRs in no time.
Tability AI: to generate OKRs based on a prompt
Tability AI allows you to describe your goals in a prompt, and generate a fully editable OKR template in seconds.
- 1. Create a Tability account
- 2. Click on the Generate goals using AI
- 3. Describe your goals in a prompt
- 4. Get your fully editable OKR template
- 5. Publish to start tracking progress and get automated OKR dashboards
Watch the video below to see it in action 👇
Tability Feedback: to improve existing OKRs
You can use Tability's AI feedback to improve your OKRs if you already have existing goals.
- 1. Create your Tability account
- 2. Add your existing OKRs (you can import them from a spreadsheet)
- 3. Click on Generate analysis
- 4. Review the suggestions and decide to accept or dismiss them
- 5. Publish to start tracking progress and get automated OKR dashboards
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Tability will scan your OKRs and offer different suggestions to improve them. This can range from a small rewrite of a statement to make it clearer to a complete rewrite of the entire OKR.
Engineering OKRs examples
You will find in the next section many different Engineering Objectives and Key Results. We've included strategic initiatives in our templates to give you a better idea of the different between the key results (how we measure progress), and the initiatives (what we do to achieve the results).
Hope you'll find this helpful!
OKRs to foster continuous improvement on Engineering metrics
ObjectiveFoster continuous improvement on Engineering metrics
KRAchieve 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
KRImplement 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
KRReduce 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
OKRs to enhance engineering team's productivity
ObjectiveEnhance engineering team's productivity
KRIncrease project completion rate by 20%
Conduct weekly project progress and status checks
Implement a detailed project schedule for better tracking
Provide timely training and resources to team members
KRImplement a new efficiency-enhancing tool with full adoption by team
Develop comprehensive training for tool usage for the team
Select efficiency-enhancing tool based on team's tasks and workflows
Regularly monitor, assess, and provide feedback on tool usage
KRReduce engineering errors by 15%
Enhance collaboration and communication within engineering teams
Implement regular skill improvement workshops for engineers
Introduce stringent quality control and testing processes
OKRs to enhance accuracy in story estimation by software engineering team
ObjectiveEnhance accuracy in story estimation by software engineering team
KRAchieve 90% team satisfaction rate with the improved estimation process
Implement weekly training sessions for the new estimation process
Consistently communicate the benefits of the new process
Collect feedback and make necessary improvements
KRReduce average estimation error to less than 10% in next 100 tasks
Implement more accurate estimation tools and techniques
Review and adjust estimations after each task
Train team on precision estimation strategies
KRTrain 100% of the team on advanced estimation techniques and methods
Follow up on training outcomes and comprehension
Schedule team members for training sessions
Identify appropriate advanced estimation training course
OKRs to improve engineering performance and reliability
ObjectiveBuild a world-class infrastructure
KRIncrease Apdex above 0.95
Cache requests wherever possible
Identify and resolve to 5 application bottlenecks
KRReduce build time to be under 5 minutes
Audit test suite to reduce duplicates
Switch to a more performing build infrastructure
KROur stress tests show that we can support 10,000 concurrent users
OKRs to improve the quality of the data
ObjectiveSignificantly improve the quality of the data
KRReduce the number of data capture errors by 30%
KRReduce delay for data availability from 24h to 4h
KRClose top 10 issues relating to data accuracy
OKRs to improve interoperability between data engineering teams
ObjectiveImprove interoperability between data engineering teams
KROffer 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
KRReduce 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
KRImplement 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
OKRs to reduce the cost of integrating data sources
ObjectiveReduce the cost of data integration
KRDecrease the time to integrate new data sources from 2 days to 4h
Migrate data sources to Segment
Create a shared library to streamline integrations
KRReduce the time to create new dashboards from 4 days to <1h
Adopt BI tool to allow users to create their own dashboards
KR10 teams have used successfully a self-serve dashboard creation system
OKRs to enhance workflow efficiency and productivity
ObjectiveEnhance workflow efficiency and productivity
KRImplement 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
KRReduce 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
KRIncrease 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
OKRs to allocate resources to refactor high-priority tech debt
ObjectiveReduce technical debt by allocating resources effectively
KRImplement best practices to avoid future high-priority tech debt accumulation
KRAchieve a reduction in high-priority tech debt items by 25%
KREstablish a clear plan for refactoring high-priority tech debt items
KRPrioritize high-priority tech debt items for resource allocation
OKRs to improve engineering release cycles
ObjectiveSignificantly increase the speed of our development cycle
KRImprove developer NPS from 20 to 60
KRReduce build times from 25 to under 5 mins
KRReduce cycle time from 28 days to 6 days
Implement CD pipeline for the staging environment
Automate all deployment steps
Engineering OKR best practices
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
Focus can only be achieve by limiting the number of competing priorities. It is crucial that you take the time to identify where you need to move the needle, and avoid adding business-as-usual activities to your OKRs.
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.
Tip #2: Commit to weekly OKR check-ins
Having good goals is only half the effort. You'll get significant more value from your OKRs if you commit to a weekly check-in process.
Being able to see trends for your key results will also keep yourself honest.
Tip #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.
Save hours with automated OKR dashboards
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OKRs without regular progress updates are just KPIs. You'll need to update progress on your OKRs every week to get the full benefits from the 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
Most teams should start with a spreadsheet if they're using OKRs for the first time. Then, you can move to Tability to save time with automated OKR dashboards, data connectors, and actionable insights.
How to get Tability dashboards:
- 1. Create a Tability account
- 2. Use the importers to add your OKRs (works with any spreadsheet or doc)
- 3. Publish your OKR plan
That's it! Tability will instantly get access to 10+ dashboards to monitor progress, visualise trends, and identify risks early.
More Engineering OKR templates
We have more templates to help you draft your team goals and OKRs.
OKRs to successfully implement a coherent MYEO Theory of Change Framework
OKRs to develop and strengthen effective team leadership skills
OKRs to boost enterprise team with 6 reps and 1 manager
OKRs to successfully migrate users
OKRs to successfully implement and launch an AB Testing Platform
OKRs to increase company-wide revenue