Introducing Revenue Impact Analysis: put a dollar amount on every bug
January 24, 2026 · 5 min read
The missing piece
Before Revenue Impact Analysis, ARI would tell you: *"Critical bug in checkout flow — payment form fails on mobile Safari."*
Useful. But not enough to make a release decision. The real question is: how much does this cost if we ship it?
A bug in checkout is not the same as a bug in the help center. One costs you $18,000/day. The other costs you almost nothing. Treating them the same leads to bad prioritization.
How it works
Revenue Impact Analysis combines three signals:
1. Flow criticality
We classify each flow by its position in the revenue funnel. Checkout and payment flows are weighted highest. Auth flows affect retention. Search/discovery affects conversion. We've built a taxonomy of ~40 flow types with default revenue weights.
2. Bug severity × affected surface
A Critical bug that affects 100% of mobile users has 10x the impact of a Low bug that appears in an edge case. We estimate the affected user surface from crawl data — which devices, browsers, and states trigger the bug.
3. Your baseline conversion rate
You optionally provide your daily active users and average order value. ARI uses these to calculate a precise dollar figure. Without this, we use industry benchmarks by app category.
What you see
Every bug in the report now shows:
- —Daily revenue at risk — e.g., $8,400/day
- —Severity — Critical / High / Medium / Low
- —Affected user segment — e.g., "Mobile Safari users (est. 23% of traffic)"
The report header shows total revenue at risk across all bugs. This is the number you bring to your PM when deciding whether to delay a release.
The impact
Teams using Revenue Impact Analysis report that release decisions happen faster — because there's no more debate about priority. The data speaks for itself.