Turn customer needs into clear plans, give AI developers the context to build correctly, and keep leadership focused on the right priorities.
See how ProdMoh works
See how an onboarding issue moves through ProdMoh—and what each team receives along the way.
Customer feedback
“I invited my team, but nobody received the email.”
Customer Pulse → Opportunity
Make invitation status visible and let users retry failed invites.
Your team reviews the idea and the strategic, market, and execution signals in ProdMoh Score.
PRD + acceptance criteria
Show pending, delivered, and failed invitations. Let an admin resend a failed invite.
Generated guardrails + eval plan
Restrict resends to admins. Prevent duplicate invitations. Test the retry flow.
Your team reviews the generated scope, constraints, and checks before development.
In your MCP-connected tool
“Load the invitation PRD and stories. Review the requirements and guardrails before implementing retry.”
ProdMoh MCP → Coding assistant
PRD context + user stories
Acceptance criteria + constraints
The developer accesses saved context in Claude or Cursor and reviews the implementation there.
Release evidence
Human decision
Hold for retry evidence. Once approved, draft launch notes from the agreed scope.
Check code risks with Code X-Ray. Review test evidence in Release Gate before approving the release.
Across the workflow
Review goal alignment, portfolio concentration, and open decisions in the Strategic Brief and Decision Queue.
Decision Intake
Try One Of These
Try a preview without an account. Sign in to save context, import requirements, and continue into planning and launch readiness.
From decision to delivery
Enter something you are actively debating. ProdMoh gives you a fast preview of the tradeoff, the likely call, and what is still unclear.
Instead of generic advice, ProdMoh narrows the decision, surfaces the missing evidence, and points to the spec that should exist next.
Build a product spec from the decision, then connect acceptance criteria, release evidence, and launch materials as work progresses.
Estimate the opportunity
Compare the work you do today with your expected effort using ProdMoh. Adjust each scenario to match your team, including review and correction time.
Illustrative assumptions, not industry benchmarks or measured ProdMoh results. These estimates do not predict bug reduction or time to market.
Turn customer feedback into a PRD, acceptance criteria, and guardrails for team review.
Hours per feature
80 hours potentially freed
67% less effort per feature in this scenario.
Calculation: current hours − expected hours. No savings are guaranteed.
Make requirements and user-story context available through MCP instead of repeatedly preparing handoffs.
Hours per developer / week
3 hours potentially freed
60% less effort per developer / week in this scenario.
Calculation: current hours − expected hours. No savings are guaranteed.
Use Product Canvas and Strategic Brief to prepare a shared view of priorities, alignment, and open decisions.
Hours per team / week
4 hours potentially freed
67% less effort per team / week in this scenario.
Calculation: current hours − expected hours. No savings are guaranteed.
Each card uses a different unit. Estimates are shown separately and are not added together.
Shared context. AI-assisted work. Human decisions.
For companies investing in AI to improve productivity and quality: connect what matters to the business with what teams and their AI tools need to deliver.
Use ProdMoh Score to inform prioritization with strategic, market, and execution signals. Review tradeoffs and ownership gaps through the Strategic Brief and Decision Queue.
Explore the decision workspace →Use Customer Pulse to synthesize customer feedback and recurring friction into priorities and requirements. Give teams useful context before they build with AI.
Explore customer insights →Use AI to draft release notes, sales materials, and enablement content from the agreed launch scope. Give your team a starting point to review and refine.
Explore launch preparation →Bring PRD and user-story context into MCP-compatible coding tools. Build from shared requirements and generated guardrails, then review release evidence and Code X-Ray findings.
Explore Code X-Ray →Capabilities behind the workflow
From choosing the right problem to preparing a release, each capability produces something the next team can use. Here is where it fits and the work it helps you do.
Customer Pulse
Turn collected feedback into themes, ideas, and opportunities your team can review before committing development time.
Workflow handoff: Customer evidence → proposed initiative
Explore customer insights →ProdMoh Score
Assess strategic, market, and execution signals alongside team judgment. Surface where an idea needs more clarity before it becomes a commitment.
Workflow handoff: Proposed initiative → informed priority decision
Explore idea assessment →PRDs, user stories & acceptance criteria
Turn an idea into requirements, user stories, and explicit acceptance criteria that business and engineering teams can review together.
Workflow handoff: Agreed priority → development-ready scope
Explore requirements →PRD-generated guardrails & evaluation plans
Generate implementation constraints and validation checks with the PRD. Review them early so developers know the boundaries and how the work will be evaluated.
Workflow handoff: Requirements → reviewed constraints and checks
Explore guardrails →MCP context for Claude, Cursor & other clients
Access saved PRD and user-story context inside compatible AI tools. Reduce repeated handoff preparation and give coding assistants the intent behind a task.
Workflow handoff: Reviewed requirements → context in the coding tool
Explore developer context →Code X-Ray & Release Gate
Review implementation risks, test status, and attached evidence. Give the release owner a clear basis to approve, block, or defer the change.
Workflow handoff: Implementation → evidence and a release decision
Explore code review →Launch Generator & AI Deck Builder
Draft release notes, sales enablement, and training material from agreed scope. Turn source documents into presentations for team review.
Workflow handoff: Approved scope → launch and communication drafts
Explore launch preparation →Product Canvas, Strategic Brief & Decision Queue
See portfolio concentration, goal alignment, ownership gaps, and pending decisions. Give executives a shared view of where effort is going and what needs attention.
Workflow handoff: Portfolio context → priorities and leadership decisions
Explore the strategy workspace →Review how planned work is distributed across priorities and time horizons, then use that view to guide your next strategy discussion.
Open Product Canvas →
Product Canvas preview · Select the image to view it at full size.
No. ProdMoh provides business context, requirements, and review workflows around AI-assisted delivery. Teams can use MCP-compatible coding tools alongside it, while people review evidence and make release decisions.
Product Canvas, Strategic Brief, and Decision Queue show what to approve, block, or defer based on goals, risk, ownership, and evidence.
Yes. Product Canvas maps PRDs across acquisition, retention, monetization, trust, and efficiency so concentration risk is visible.
Release Gate tracks scenario status, evidence uploads, and risk flags, then gives a clear approve, block, or defer path before launch.
Yes. Business teams can run the workflow in UI, while engineering can use MCP and Code X-Ray for deeper technical review.
Yes. ProdMoh supports MCP integrations for Cursor, Windsurf, and Claude Desktop, plus Code X-Ray for diff risk analysis.
Launch Generator creates release notes, GTM outlines, sales enablement content, and training material from approved shipped scope.
Leaders review priorities and tradeoffs. Operations and customer teams contribute business context, while product and engineering teams turn decisions into requirements, release evidence, and launch plans.
Most teams can start in minutes by using existing PRDs and stories to generate a product canvas view, strategic brief, and decision workflow.
Start with a business decision. Turn it into a product spec, review the tradeoffs, and give every team a shared foundation for planning, delivery, and launch.
Import an existing PRD or generate a product spec in ProdMoh to unlock the full decision brief, Product Canvas, release decisions, and launch workflows.
ProdMoh connects business context, AI-ready requirements, quality checks, and launch preparation for companies using AI to improve team productivity and delivery quality.
Supported environments include Cursor, Windsurf, Claude Desktop, and other MCP-compatible clients.
Core use cases include Product Canvas, Strategic Brief, Decision Queue, launch readiness, cross-team alignment, and diff risk analysis with fix branch generation when needed.
