How it works
Current throughput
Features shipped per year = releases per quarter x 4 x features per release. Features per release is derived from team size, using Wednesday benchmarks.
AI-native throughput
Each manual task selected adds a time-multiplier. Code review: 12% time saving. QA: 18%. Visual checks: 8%. Release notes: 4%. Security audits: 6%. The total multiplier is applied to current throughput to project AI-native output.
Release frequency delta
The AI-native throughput gain breaks down into more features per release, more releases per quarter, or both — depending on the team size and manual task profile.
Questions
What formula does this use?
AI-native features per year equals current features per year multiplied by one plus the sum of time-saving multipliers for each manual task you selected. Multipliers range from 4% (release notes) to 18% (QA), derived from Wednesday engagement data and DORA 2024.
How accurate is this?
The multipliers are medians from real engagements, not projections. Your actual gain depends on how mature your product is and how disciplined the team is about using AI tooling consistently.
Can I share or save my results?
Yes. Share link encodes your inputs in the URL. PDF export shows the before-and-after comparison with a breakdown of where each gain comes from.
When should I not rely on this calculator?
If your primary constraint is not engineering speed but product direction, design, or stakeholder alignment, shipping faster does not close the gap.
Who should I talk to if my situation is more complex?
Book 30 minutes with one of our engineers. You will leave with a throughput estimate specific to your product, team shape, and manual task profile.
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