Stop guessing what to build. Your customers already told you.

ProdSignal turns customer interviews and product ideas into prioritised problem statements, system designs, and AI builder prompts — in minutes, not days.

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Your research is sitting in a graveyard

10-15 hours per week on manual synthesis

PRDs written from memory and gut feel

Engineering asks why are we building this and you cannot prove it

How it works

1

Upload a transcript, paste feedback, or describe your product idea in 2-3 sentences

2

AI extracts problems, designs the system, writes the builder prompt

3

Ship with conviction not assumption

Real output. Real evidence.

This is what ProdSignal produced from a real product manager interview. No templates. No generic summaries. Every insight traced back to the exact customer quote.

Problem 1: Inability to Quantify Customer Demand

Critical
JTBD Statement: When evaluating feature requests in planning meetings, I want to know exactly how many customers have this problem, so I can make evidence-based prioritisation decisions instead of guessing.
Business Impact: Built a bulk import feature that took 8 weeks of engineering time. Only 11 out of 200 customers used it in the first month. Could not distinguish between one loud enterprise customer and genuine market demand.
Root Cause: No system exists to aggregate and quantify how many customers share the same problem across different feedback channels.
Current Workaround: Relying on memory and CSM notes that lack structure, leading to decisions driven by the loudest voice not the most representative one.
Evidence:
"I would have needed to know that only one customer was really asking for this. If I could have seen bulk import has been requested by 1 customer representing 40% ARR, versus notification improvements which have been requested by 67 customers representing 60% ARR, that is a completely different conversation." — Marcus, Head of Product
"My mental model of what customers want is heavily biased toward the loudest voices and the most recent conversations." — Marcus, Head of Product
"Prioritisation becomes a real conversation instead of a negotiation. I can push back on the HiPPO decisions with actual data." — Marcus, Head of Product

Problem 2: Research Graveyard Syndrome

High
JTBD Statement: When starting a new discovery cycle, I want to build on previous customer research, so I can identify patterns across multiple sessions instead of starting from zero every time.
Business Impact: 847 bullet points of customer feedback sitting in Notion that nobody has looked at since October. Significant time investment in research producing zero actionable output.
Root Cause: No structured way to synthesise unstructured feedback at scale. Manual review is too time consuming to be sustainable.
Current Workaround: Ignoring historical data entirely and making decisions based on the most recent conversations, creating recency bias in all product decisions.
Evidence:
"We have this Notion workspace that is just a graveyard. There is a page called Customer Feedback Q3 2025 that has 847 bullet points in it. Nobody has looked at it since October." — Marcus, Head of Product
"I spent two hours going through it and I found maybe four things that were actually actionable. Four things from 847 bullet points. That is a terrible return." — Marcus, Head of Product

+ 4 more problems identified with evidence

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Upload a customer interview or describe your idea in 2-3 sentences. Get back a prioritised problem statement, system design, UI specification, and Cursor-ready prompts.

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Also includes Devil's Advocate validation, PRD generator, and Build Guide. Free to start, no card required.

Built for PMs and founders who move fast

90%

of PM job descriptions require synthesis tasks

10-15h

PMs spend per week on manual synthesis

2 hours

From raw idea or interview to a Cursor-ready spec

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