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Read the introRevelica's opinionated AI native product discovery best practices.
RevelicaEvery playbook and skill the product agent runs as part of this method.
Explore an alternative positioning for your product. Research a customer segment, articulate the value proposition, discover the competitors that emerge from that frame, and produce a competitive analysis.
Define a customer segment, then build the experience map: the moments they go through, the solutions they use, and the unmet needs. Grounded in real customer voice where possible.
Runs competitive analysis end to end: from a blank workspace to a market map that stays current.
Test a hypothesis with Analysis of Competing Hypotheses: gather evidence, score against all assumptions in isolation, produce a verdict matrix and report.
AI-assisted user story mapping for product teams. The product agent drafts the first map; you and your team refine the UX, surface assumptions, and slice releases; then export a requirements spec your coding agent builds from over MCP.
Author a feature spec on an idea from your coding agent: a structured markdown design doc (Why, Goals, Design, Plan, Decisions) written section by section and attached back to the idea.
Give your coding agent the product context behind the code: the idea, spec, and research it needs to build, plus a place to write results back so the team stays in sync.
Revelica's opinionated AI native product discovery best practices, ideally suited for empowered teams.