Resource Center
Quickstart metrics guide: Planning Accuracy
Most engineering teams fail to deliver on half of the work they commit to in a sprint. This leads to missed deadlines, disrupted roadmaps, and reduced confidence from the business.
In this guide you’ll learn why Planning Accuracy matters, how to measure it, and how top-performing teams improve it.
Quickstart metrics guide: Planning Accuracy
Download your free copy
Why Planning Accuracy matters
Planning Accuracy is more than a metric—it’s about trust and predictability.
When teams consistently meet the commitments they make, they create a stable delivery rhythm that drives business outcomes. High Planning Accuracy means:
Teams deliver what they promise
Product and stakeholders trust engineering
Sprints are focused and predictable
Where does your team stand?
Based on 6.1M+ PRs from 3,000 teams across 32 countries:
- Elite: >80%
- Good: 65–80%
- Fair: 45–64%
- Needs Focus: <45%
Most teams land in the Fair or Needs Focus range, meaning there’s a huge opportunity to improve.
How to interpret Planning Accuracy
Planning Accuracy tells you how much of your committed work actually gets done in an iteration.
But to get the full picture, you need to pair it with other metrics:
- Capacity Accuracy: Are we taking on the right amount of work?
- Velocity & Stability: Are we delivering consistently?
- Bug Investment: Is unplanned work derailing our sprints?
Download your free copy
More resources
Report
2026 Software Engineering Benchmarks Report
Created from a study of 8.1+ M PRs from 4,800 engineering teams across 42 countries.
Workshop
2026 Benchmarks Insights
Explore new AI insights from the 2026 Software Engineering Benchmarks Report – backed by 8.1M+ PRs across 4,800 engineering teams and 42 countries.
Demo
Understand AI adoption and developer impact with the AI Insights Dashboard
This demo guides you through the AI Insights Dashboard, demonstrating how to track and analyze trends in AI tool adoption, rule coverage, and code quality....