Paste your rough idea or observation. SPM transforms it into a validated, quantified problem statement with root cause, affected users, and measurable impact.
A vague complaint, a customer quote, a metric that looks wrong, or even just a hunch. Any level of clarity works. SPM handles ambiguity.
The AI separates symptoms from causes, identifies the affected user segment, quantifies impact where possible, and maps dependencies. It fills gaps with suggestive estimates you can validate.
A structured output with root cause analysis, evidence section, business impact, scope boundaries, and competitive context. Ready to present to stakeholders or drop into a PRD.
SPM pushes past the surface complaint to find the structural issue. "Users are churning" becomes "onboarding requires 4 sequential human handoffs with no parallel tracks."
Every problem gets sized in multiple dimensions: revenue at risk, support cost, time wasted, opportunity cost. Suggestive estimates where data is missing.
If you paste a solution ("we need a chatbot"), SPM reframes it as the underlying problem with evidence of why it matters.
Output includes who is affected, evidence, root cause chain, business impact, scope boundaries, and competitive context. Ready for a PRD or leadership review.