customer journey friction mapper
by nowrich
Identify conversion bottlenecks and revenue gaps by mapping customer touchpoints, emotions, and friction.
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Works with the AI tools you already use
See it in action
You say
Map the customer journey for our CRM software using these support tickets and these notes from three 'closed-lost' sales calls. Focus on the Decision and Retention stages.
Your agent does
Stage: Decision
| Dimension | Findings | |-----------|----------| | Objections | High switching cost, lack of API documentation | | Friction | Pricing page lacks a clear comparison for Enterprise tier | | Follow-up Gaps | No outreach after the 14-day trial expires without a purchase |
What you get
About this skill
The problem
Leads drop off without explanation and customers churn despite having a functional product. Marketing, sales, and success teams often operate in silos, leaving gaps in the buyer journey that create friction and lost revenue.
What it does
- Analyzes customer data from CRM logs, support tickets, and interview transcripts to identify pain points.
- Maps touchpoints, questions, and objections across awareness, consideration, decision, and retention stages.
- Pinpoints specific emotional triggers and technical friction points that stall conversions.
- Identifies missing content assets and broken follow-up loops that lead to drop-off.
- Prioritizes recommendations based on business impact and implementation effort.
Why this beats prompting it yourself
General prompts often miss the nuances between B2B and B2C emotional drivers or overlook post-purchase advocacy gaps. This skill uses a structured eight-dimension framework to ensure technical friction and psychological objections are documented systematically rather than haphazardly.
Use cases
- Audit a high-churn SaaS product to identify where onboarding UX fails.
- Map a B2B sales funnel to discover why leads stall after the initial demo.
- Evaluate marketing landing pages against common customer objections and questions.
- Identify revenue opportunities by finding missed upsell moments in the retention phase.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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