A starting point for clearer priorities and measurable progress. Make the targets your own.
Reduce the number of data capture errors by 30%
Reduce delay for data availability from 24h to 4h
Close top 10 issues relating to data accuracy
Set your baseline. Check where you are today, then choose targets that stretch your team.
Agree on ownership. Give each key result a clear owner and a source of data.
Check in every week. Review the numbers, share confidence, and decide what needs attention.
A machine-readable version of this example for a script or AI assistant.
Engineering OKR example
Suggested timeframe: Set with your team
1 objective · 3 key results
Example targets. Adapt to your baseline before you start.---
title: Improve the quality of the data
objectives:
- title: Significantly improve the quality of the data
outcomes:
- title: Reduce the number of data capture errors by 30%
from: 150.0
to: 105.0
score_format: _number_ errors/week
initiatives: []
- title: Reduce delay for data availability from 24h to 4h
from: 24.0
to: 4.0
score_format: _number_h time-to-data
initiatives: []
- title: Close top 10 issues relating to data accuracy
from: 0.0
to: 10.0
score_format: _number_ issues closed
initiatives: []
Reduce the cost of data integration
Improve interoperability between data engineering teams
Enhance data engineering capabilities to drive software innovation