Generate a user journey map with emotions, touchpoints, and pain points from research inputs.
npx skills add https://github.com/konglong87/superPM --skill pm-journey
Please help me install this Agent Skill. Skill: pm-journey Source: https://github.com/konglong87/superPM/tree/main/skills/01-demand-insight/pm-journey Command: npx skills add https://github.com/konglong87/superPM --skill pm-journey
It helps you understand the full user experience across all stages, so you can uncover concrete pain points and improvement opportunities for conversion and retention.
Tell the assistant: “Run pm-journey and generate the user journey map using the existing docs/01-需求调研/需求调研报告 and MVP方案.”
High-intent search queries and answers about installing and using this skill.
Mapping user journeys involves reading research reports and interactively collecting stage-specific details like emotions and touchpoints. This translates pain points into actionable opportunity areas for product discovery and conversion optimization.
Touchpoint mapping and emotion curve analysis identify key user interactions and emotional changes across each journey stage. This technique visualizes experience fluctuations to uncover concrete pain points and retention improvement opportunities.
Translating pain points into opportunities requires analyzing emotion curves and touchpoints per journey stage. This analysis converts identified friction areas into actionable opportunity ideas and recommends next steps like PRD refinement or prototyping.
Yes, user journey analysis can utilize existing research reports and MVP plans. The process reads these available inputs to interactively collect journey stages and output a comprehensive journey map to docs/01-需求调研/用户旅程地图.md.
You need a user journey map during product discovery, MVP refinement, onboarding optimization, or conversion improvement. It helps understand the full user experience across multiple user types and task scenarios to uncover concrete improvement opportunities.
User journey mapping works for onboarding optimization and retention improvement by analyzing emotions and touchpoints across stages. It applies to multiple user types and task scenarios to identify friction areas affecting conversion and retention.
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huiferAnalyze multi-step conversion funnels to identify drop-offs and compute conversion metrics.
