Templates

Revelica's opinionated AI native product discovery best practices.

Analyze a customer interview transcript to extract opportunities and insights

Turn a feature idea into user stories with acceptance criteria and risky assumptions

Evaluate and rank ideas against your desired outcome using evidence

Research competitors from a URL and build your value proposition with differentiation analysis

Deep Kano framework analysis of how solutions cover customer use cases

Run a data mining experiment to test an assumption. Systematically searches web and workspace evidence, sets success criteria upfront, and produces a structured experiment report.

Pre-mortem experiment that surfaces hidden assumptions in a hypothesis. Simulates failure, identifies testable claims across risk dimensions, and produces an experiment report.

Bootstrap a workspace from a company URL to a tested hypothesis.

Generate ideas grounded in workspace context — competitive landscape, customer segments, opportunities, and evidence. Forms testable hypotheses with key assumptions.

Pressure-test an idea against the desired outcome. Gathers evidence, sharpens the hypothesis, scores impact and confidence.

Ingest URLs, files, or text into the Evidence & Findings knowledge base

Analysis of Competing Hypotheses matrix. Scores evidence against assumptions using isolated parallel judgments. Diagnosticity, sensitivity analysis, and verdicts are computed automatically.

A group of customers that share a common goal or job to be done

A project in a workspace, with OKR-style goals (objectives + key results). Read-only via MCP — projects are created via the onboarding flow.

An organization that is offering solutions to the market

A one page summary of a customer interview including insights, opportunities, and a quote

A general-purpose markdown document — specs, PRFAQs, strategy briefs, meeting notes.

A solution document that maps user experience and requirements from the user perspective

AI-powered competitive positioning map. Research your market, competitors, and where you stand.

Raw evidence ingested from URLs, files, or text. Categorized and deduplicated.

A piece of raw content ingested into the workspace knowledge base — a web page, uploaded file, or block of text. Deduplicated by content hash.

A key insight extracted from an evidence source by the agent. Insert-only — findings are not updated after creation.

A testable assertion about why specific ideas will impact a key result, with linked evidence from evidence_findings.

A testable claim that must be true for a hypothesis to hold. Workspace-scoped and shared across hypotheses.

Design for a structured experiment: what assumption to test, success criteria, and methodology. Created before running to avoid confirmation bias.

Report from a structured experiment testing an assumption. Captures methodology, evidence findings, and conclusion.

An implementation step — something to build, fix, or ship. Belongs to a project, optionally to an idea. Supports sub-tasks via parent_id.

A directed acyclic graph of steps that achieve a goal. Steps can be agent-executable (skills) or human tasks. Dependencies between steps determine execution order.

The market playing field for a solution, including a company, ideal customer, value proposition, and competing solutions with differentiation.

The proposed benefits a customer segment will receive from using a company's solution

A product, service, or process which helps users do jobs and accomplish goals

A business opportunity stated in the voice of the target customer

A testable hypothesis about what to build, with evidence and scoring.