Customer Journey Friction Analysis

Goal

Produce a ranked friction point analysis of a customer's end-to-end journey, with each issue paired to a specific, actionable remedy.

Trigger

Invoke when preparing for a CX review, diagnosing conversion drop-off, planning a product sprint, or responding to a spike in churn or support volume.

Steps

1. 1

   Using your connected tools (for example the CRM account record, support ticket history, product analytics/event data, NPS/CSAT survey results, and call transcripts from recent customer conversations), gather all available signals for $customer_segment. If a tool isn't connected, ask the user to paste representative data such as funnel metrics, survey verbatims, or support logs.

   • □At least one behavioral or usage data source is present
   • □At least one voice-of-customer source (survey, call, ticket) is present
   • □Time range and segment scope are confirmed
2. 2

   Map the full customer journey into named stages from first awareness through onboarding, activation, core usage, expansion, and renewal/advocacy. For each stage, list the primary action the customer takes, the channel or touchpoint involved, and the success criterion that signals a healthy transition to the next stage.

   • □Every stage has a defined customer action and success criterion
   • □No major touchpoint category (email, in-app, human) is missing from the map
3. 3

   For each journey stage, identify friction points by cross-referencing drop-off data, support ticket themes, survey complaints, and call sentiment. A friction point must have at least one measurable signal (e.g., drop-off rate, ticket volume, low CSAT score, repeated escalation topic). Capture both quantitative evidence and a direct customer quote or verbatim where available.

   • □Each friction point is tied to a specific stage
   • □Each friction point has at least one quantitative signal
   • □Verbatim or qualitative evidence is included where available
4. 4

   Score and rank every friction point by impact using three dimensions: (1) breadth — what percentage of customers hit this friction; (2) severity — how much does it damage conversion, retention, or satisfaction; (3) recurrence — is it a one-time or repeating obstacle. Assign a High / Medium / Low composite impact rating and sort the list from highest to lowest impact.

   • □All three impact dimensions are scored for each friction point
   • □Final ranking is clearly ordered from highest to lowest composite impact
   • □Ranking rationale is documented for the top 3 items
5. 5

   For each friction point, write a concrete fix that specifies: what change to make, which team owns it (product, CS, marketing, ops), the effort level (quick win vs. multi-sprint), and the expected outcome metric that would confirm the fix worked. Prioritize quick wins that address high-impact friction first.

   • □Every friction point has exactly one primary recommended fix
   • □Owner and effort level are assigned for each fix
   • □A measurable success metric is defined for each fix
6. 6

   Synthesize the findings into a final output: a ranked friction point table followed by an executive summary of the top 3 issues and their fixes, and a 30-day action plan listing the two or three highest-ROI interventions the team should start immediately.

   • □Ranked table covers all identified friction points
   • □Executive summary is 3–5 sentences and decision-ready
   • □30-day action plan includes owner, first action, and target metric

Output format

Deliver three sections: (1) a Friction Point Ranked Table with columns for Stage, Friction Description, Evidence, Impact Rating, Fix, Owner, Effort, and Success Metric; (2) an Executive Summary of the top 3 friction points and their fixes in 3–5 sentences; (3) a 30-Day Action Plan listing the 2–3 highest-ROI interventions with owner and first concrete action.