Your customers already know what they want. Let them show you.
Diffable lets your customers fork your UI, make changes with AI in a live sandbox, and submit visual diffs back to your team. You get working code and clear intent — not another vague ticket.
Feedback is broken. You already know this.
A customer writes “the dashboard is confusing.” Your 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 feedback was right — the translation was wrong.
Text-based feedback tools — Canny, Productboard, UserVoice — organize words. But words are lossy. “Make the onboarding simpler” could mean remove three fields, reorder two steps, or change the entire flow. You won’t know which one until you build the wrong version first.
The gap between what customers mean and what teams build is where good products go to die. Diffable closes that gap by replacing text interpretation with working code.
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 one-paragraph brief that would take a PM an hour to write.
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.
Stop guessing what your customers want
See it in action. Ship what your customers actually asked for.