Stop translating. Start shipping.
Every feature request is a game of telephone. Diffable cuts out the translation layer — customers make changes in a sandboxed copy of your product, and your team gets working code diffs instead of Jira tickets full of maybes.
Revenue chart is hard to read
“The revenue chart on the dashboard could be way more readable. Hard to get actual numbers at a glance.”
Customer wants persistent value labels on bar charts instead of hover-only tooltips. Added Y-axis scale for reference. No layout or data changes.
+ session recording · conversation transcript · 1 more
Same customer. Same feedback. One gives you a sentence. The other gives you a spec.
You’re building what you think they meant.
A customer writes “the dashboard is confusing.” A PM reads it, interprets it as “add tooltips,” files a ticket, and the team ships tooltips. The customer wanted a completely different layout. They churn anyway. The signal was there — it just got lost in translation.
Session replays show you where things break. Heatmaps show you where attention drops. But those tools only diagnose problems. They can’t show you solutions. Your customers can’t describe the ideal version of your product in words — but put a live sandbox in front of them and they’ll show you.
“Make onboarding simpler” could mean remove three fields, reorder two steps, or redesign the entire flow. Words are lossy. Code isn’t. Diffable lets customers make the change themselves in a live sandbox and submit a visual diff. You see exactly what they meant — no interpretation layer, no building the wrong thing first.
From “what did they mean?” to “here’s the code”
Visual diffs replace vague tickets
Your customers make changes in a live sandbox and submit a before/after visual diff. You see exactly what they want — pixel-level clarity instead of a paragraph you have to decode.
AI reads intent, not just changes
Claude analyzes every fork — what changed, why it matters, and how it connects to what other customers are asking for. You get a structured intent analysis, the working code diff, and enough context to go straight to "should we ship this?"
Signal surfaces across your entire customer base
Individual requests are noise. Patterns are signal. Diffable clusters forks by intent, so you see that 12 customers all simplified the same onboarding step — not 12 separate tickets.
40–50%
of customer feedback is expressible as working frontend changes. The rest? Diffable captures rich context automatically — session replay, console errors, network timing — so nothing falls through the cracks.
They show you what they want. You ship what they meant.
Customers edit your product in a controlled sandbox. You get the code, the intent, and the patterns you’d never see in a ticket queue.