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Engineering OKR Examples
Page Highlights
- Important introductory notes for Engineering
- Engineering processes and KPIs that helps shape finance team OKRs
- Engineering OKR examples to inspire you
Engineering teams build the products that solve customer problems, deliver a great customer experience and ultimately a competitive advantage. These are also the products marketing and sales sell, customer teams support, and investors want to invest in.
So building the products and features that matter, at speed is foundational to success, and OKRs for Engineering teams are what can direct those efforts. OKRs are not trying to replicate your roadmap or be how you manage your sprints and epics. Your OKRs are how you will describe the end-state you’re trying to achieve and how you will measure success.
The strategic pillars of engineering teams are often geared around development velocity, code / product quality and release frequency. Put simply, you want to create the features that customers want, they need to work as planned, and the business and the customers want them shipped ASAP and frequently.
How you structure your teams, how you engineer your products, how you manage your engineering teams, are using and optimizing systems, processes, tools and frameworks. How you know you’re running a healthy product and department is using KPIs or Heath Metrics. These metrics can be customer centric like speed, usage frequency, feature usage, and retention. They can be measures of quality like issues and critical bug counts and code coverage. And of course they can be measures of efficiency like story-points.
Here you will find some Engineering OKR examples that help ensure you focus on optimizing your teams output.
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Executive Briefing On OKRs
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Engineering OKR Examples
OBJECTIVE – Achieve Product Market Fit in Q3
KEY RESULT 1 – Achieve 100K Weekly Active Users
KEY RESULT 2 – App Store Reviews are 4 or more
KEY RESULT 3 – 25% of new customers are referred by existing customers
INITIATIVE: Launch Features X by [DATE]
INITIATIVE: Launch Features Y by [DATE]
INITIATIVE: Launch Referral Features & Nudges by [DATE]
OBJECTIVE – Convert Trials To Customers – Q3
KEY RESULT 1 – Increase Trial – Paid Sign-up Conversion from 3% to 10%
INITIATIVE: Launch New On-boarding Workflows by [DATE]
INITIATIVE: Launch Features X by [DATE]
INITIATIVE: Launch New Pricing / Billing Plans by [DATE]
OBJECTIVE – Automated Product System Releases – Q3
KEY RESULT 1 – Releases take under ten minutes and needs no humans to intervene
INITIATIVE: Review Deployment Pipeline Process & Make Recommendations by [DATE]
INITIATIVE: Automate Testing to ensure code changes haven’t broken the app. by [DATE]
OBJECTIVE – Support rarely get asked ‘how questions’ and customers are sticking with us – Q3
KEY RESULT 1 – ‘How do you’ support requests are reduced to zero in a quarter from 134
KEY RESULT 2 – The 3 actions we need new customers to do are being done with 24 hours of sign-up by 90%
KEY RESULT 3 – WAU has increased from 135K to 250K
INITIATIVE: User Testing Lab Completed + Recommendations by [DATE]
INITIATIVE: New on-boarding workflows designed and built by [DATE]
INITIATIVE: Product Analytics updated by [DATE]
OBJECTIVE – We write great code first so we need to fix less later
KEY RESULT 1 – Reduce the number of Customer Reported Bugs to 10 this Quarter
KEY RESULT 2 – Reduce time to fix critical bugs in production from 2.5 Days to 0.5 Days
OBJECTIVE – Quality code by design – Q2
KEY RESULT 1 – Improve Test Code Coverage to 80%
KEY RESULT 2 – Code reviews happen 90% of the time
OBJECTIVE – Scaling Engineering fast to support product needs – Q2
KEY RESULT 1 – Increase total front-end hours available by 20% this Quarter
KEY RESULT 2 – Increase total back-end hours available by 40% this Quarter
INITIATIVE: Off-shore team operational by [DATE]
INITIATIVE: 3 target hires up and running by [DATE]
OBJECTIVE – Continuously develop Engineering talent so we build great products – Q2
KEY RESULT 1 – All engineers to propose, agree and complete 1 weeks education this Quarter
INITIATIVE: Post training survey created to ensure value is being delivered by [DATE]
OBJECTIVE – API satisfaction levels are high – Q2
KEY RESULT 1 – Survey 50 API users for feedback and satisfaction score
KEY RESULT 2 – API satisfaction score in over 80%
OBJECTIVE – Lower levels of technical debt – Q2
KEY RESULT 1 – Our technical debt ratio is under 5%
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OKR For Engineering Conclusion
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