Use when you need to understand what users believe, feel, and predict — builds empathy maps with emotional/informational layers from research, transcripts, and code
From service-designnpx claudepluginhub zemptime/zemptime-marketplace --plugin service-designThis skill uses the workspace's default tool permissions.
Enables AI agents to execute x402 payments with per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents pay for APIs, services, or other agents.
Designs and optimizes AI agent action spaces, tool definitions, observation formats, error recovery, and context for higher task completion rates.
Compares coding agents like Claude Code and Aider on custom YAML-defined codebase tasks using git worktrees, measuring pass rate, cost, time, and consistency.
Core principle: True empathy = cognitive model of the user's emotional state + what they believe is happening. The test: "Does this make sense for someone who doesn't know what's coming next?"
| Layer | What it captures | Key question |
|---|---|---|
| Informational | What users believe is happening vs. what's actually happening. What they need to predict next. Whether labels/cues help them estimate a path's value (information scent). | Where will the mental model diverge from system reality? |
| Emotional | Baseline emotion before contact, peak intensity during, ending impression (peak-end rule). Which backstage conditions create negative peaks. | What will they remember feeling? |
Accept transcripts, interviews, pasted content, files, and URLs as input — ingest them, don't summarize them. Code reveals what the system actually does; contrast that with what users believe. Populate says/thinks/does/feels quadrants from observed evidence. Never invent quotes or emotions.
Tag every claim: [confirmed] (direct quote or observed behavior), [hypothesis] (inferred from patterns), or [gap] (unknown). Flag inferred emotions explicitly — "User likely feels frustrated [hypothesis]" not "User feels frustrated." For each hypothesis, note what evidence would confirm or refute it.
Cognitive empathy predicts confusion, fear, and skepticism. If your empathy map cannot predict where users will be confused, it is decorative. Walk each row of the Informational Empathy table and ask: given what they believe, what will they expect next? If the system does something different, that is a failure point.
Write to docs/service-design/<slice>/empathy-map.md using the template at service-design/templates/empathy-map.md. Populate the Actor table, Quadrants, Emotional Arc, Informational Empathy, and Information Scent sections.
service-design:service-blueprint maps the backstage conditions that create the peaks this analysis identifies. service-design:journey-map sequences the same experience across time and channels.