Tability is a cheatcode for goal-driven teams. Set perfect OKRs with AI, stay focused on the work that matters.
What are Engineers 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 Engineers. 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 Engineers 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.
Engineers OKRs examples
You'll find below a list of Objectives and Key Results templates for Engineers. We also included strategic projects for each template to make it easier to understand the difference between key results and projects.
Hope you'll find this helpful!
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 achieve promotion to software engineer 3
ObjectiveAchieve promotion to software engineer 3
KRComplete advanced software development certification
KRMentor and provide guidance to junior software engineers
Schedule regular one-on-one meetings to discuss progress, challenges, and career goals
Offer constructive feedback and actionable suggestions for improvement on their code
Actively involve them in meaningful projects to gain real-world experience and build confidence
Provide resources and recommend learning opportunities to enhance their technical skills
KRReceive positive performance reviews from team members and supervisors
Regularly check in with team members and supervisors to receive feedback and updates
Actively listen to team members and supervisors, and address any concerns or suggestions
Set clear and measurable goals with team members and supervisors
Continuously improve skills and knowledge through training and professional development opportunities
KRDeliver three high-impact software projects successfully
Implement effective project management methodologies to ensure efficient coordination and communication
Define clear project goals, timelines, and deliverables for each software project
Assemble a skilled and dedicated team with the necessary expertise for each project
Regularly monitor and evaluate progress, making adjustments as needed to meet project objectives
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 establish a proficient AI team with skilled ML engineers and product manager
ObjectiveEstablish a proficient AI team with skilled ML engineers and product manager
KRRecruit an experienced AI product manager with a proven track record
Reach out to AI professionals on LinkedIn
Post the job ad on AI and tech-focused job boards
Draft a compelling job description for the AI product manager role
KRConduct an effective onboarding program to integrate new hires into the team
Arrange team building activities to promote camaraderie
Develop a comprehensive orientation package for new hires
Assign mentors to guide newcomers in their roles
KRInterview and hire 5 qualified Machine Learning engineers
Conduct interviews and evaluate candidates based on benchmarks
Promote job vacancies on recruitment platforms and LinkedIn
Develop detailed job descriptions for Machine Learning engineer positions
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 mitigate the risk associated with software maintenance
ObjectiveMitigate the risk associated with software maintenance
KRImplement efficient risk management model for 90% of maintenance projects
Develop a comprehensive risk management model for maintenance projects
Apply the model to current maintenance projects for evaluation
Train project managers in risk management implementation
KRAchieve zero unresolved critical issues for all maintained software
Train staff in proactive problem identification and resolution
Implement regular system checks for software performance
Establish efficient issue reporting and resolution procedures
KRProvide tailored training for all software engineers on identified critical areas
Schedule and conduct tailored training sessions for engineers
Develop customized training programs focusing on these critical areas
Identify critical areas needing tailored training for software engineers
OKRs to tackle technical debt
ObjectiveTackle technical debt generated by feature rush
KRMigrate 80% of projects to new UI library to reduce UI debt
KRReduce percentage of issues tagged as debt by 30%
KRReduce debt-related contact rate by 50%
OKRs to accelerate development via automation
ObjectiveAccelerate development through automation
KR100% of repos have a Continuous Delivery pipeline
Use Github Actions/Bitbucket Pipelines to automate deployments on every commit
Create automated deployment scripts for all repos
KRIncrease code coverage from 30% to 60%
KRReduce cycle time from 8 days to 8h
KRReduce build time from 20min to 5min
Audit tests to find areas of improvements
Split tests to run in parallel when possible
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
Engineers 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
The #1 role of OKRs is to help you and your team focus on what really matters. Business-as-usual activities will still be happening, but you do not need to track your entire roadmap in the 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
Don't fall into the set-and-forget trap. It is important to adopt a weekly check-in process to get the full value of your OKRs and make your strategy agile – otherwise this is nothing more than a reporting exercise.
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
We recommend using a spreadsheet for your first OKRs cycle. You'll need to get familiar with the scoring and tracking first. Then, you can scale your OKRs process by using 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 Engineers OKR templates
We have more templates to help you draft your team goals and OKRs.
OKRs to foster an atmosphere of transparency and trust
OKRs to file patent for medical device and enhance prototype functionality
OKRs to boost client engagement and improve retention rates
OKRs to enhance student vocabulary comprehension and application
OKRs to implement effective OKR framework for document management
OKRs to understand group's shared experiences comprehensively