compare-user-journeys
SkillCompares how two user groups behave differently by analyzing Amplitude Session Replays and metrics side by side. Produces a behavioral diff showing what one group does that the other doesn't. Use when a PM or growth lead asks "what do converters do differently", "how do power users behave", "why do
Install
git clone https://github.com/amplitude/mcp-marketplace.git ~/.claude/skills/compare-user-journeysWhat is compare-user-journeys?
Compares how two user groups behave differently by analyzing Amplitude Session Replays and metrics side by side. Produces a behavioral diff showing what one group does that the other doesn't. Use when a PM or growth lead asks "what do converters do differently", "how do power users behave", "why do churned users leave", "compare these cohorts", "what separates segment A from B", or wants to understand the qualitative behavioral gap between two user populations.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Inherit all session tools
Declares no tool restrictions — inherits every session tool
~116 tokens of context used while enabled, before you invoke anything
Trust
83/100 · Excellent2 factors scored below maximum
Documentation
README · ~10 min readCompare User Journeys
Investigate what distinguishes two user groups by pulling session replays and metrics for each, then producing a behavioral diff. This skill answers "what do winners do differently?" with concrete evidence from real sessions.
CRITICAL: Tool Reference
Primary tools:
Amplitude:get_session_replays— Find sessions for each user group using event count filters and user property filters. Run this twice — once per group.Amplitude:get_session_replay_events— Decode replays into interaction timelines. Run this for sessions from both groups.
Supporting tools:
Amplitude:search— Search for existing charts, funnels, dashboards, events, and cohorts relevant to the comparison. Always check for existing analysis before building from scratch.Amplitude:get_cohorts— Discover existing cohorts that define the groups (e.g., "power users", "churned", "converted").
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