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Grok Bot+18 agentsSubscription Cancellation Feedback Analyzer
Analyze subscription churn feedback to identify recurring objections and draft retention experiment briefs.
$5
Subscription Cancellation Feedback Analyzer
Example session with this skill installed
Analyze these 3 exit survey responses for a $20/mo SaaS:
- "Too expensive for how often I use it." 2. "Missing a Slack integration." 3. "Price is fine but I don't need the Pro features."
- Read your context and instructions
- Compiled the subscription cancellation feedback
- Generated the document
I have analyzed the 3 survey responses provided. The sample size is small, so these findings should be considered directional observations rather than statistically significant trends.
Subscription Cancellation Analysis Report
Executive Summary
The primary drivers for cancellation in this sample are perceived value-to-price misalignment and a specific feature gap (integrations). Users are questioning the ROI relative to their usage frequency.
Dataset & Scope
- Source: Exit survey responses (Manual input)
- Sample Size: 3 records
- Limitations: Very small sample; results are qualitative.
Cancellation Feedback Themes
| Theme | What customers said | Evidence/Examples | Mentions | Confidence |
|---|---|---|---|---|
| Price/Value | High cost relative to usage | "Too expensive for how often I use it" | 2 | High |
| Feature Gap | Missing workflow tools | "Missing a Slack integration" | 1 | High |
| Plan Fit | Over-provisioned features | "Don't need the Pro features" | 1 | Medium |
Follow-up Research Questions
- Value: "What is the minimum frequency of use that would make the $20/mo price feel worth it?"
- Integrations: "Besides Slack, what other tools are essential to your daily workflow?"
- Packaging: "Which specific Pro features are currently underutilized?"
Retention Experiment Brief
- Evidence: Two users cited price/usage concerns; one explicitly mentioned not needing Pro features.
Untested Hypothesis: Offering a "Lite" or "Pay-as-you-go" tier will retain users who have low usage frequency but still value the core tool.
- Proposed Intervention: Introduce a $9/mo "Starter" tier with core features but lower usage limits.
- Primary Metric: Percentage of users selecting the downgrade option vs. completing cancellation.
- Guardrail Metrics: Average Revenue Per User (ARPU) dilution from users who would have otherwise stayed on Pro.
Next steps
- Review the Slack integration request against the current product roadmap.
- Pull usage data for the last 100 cancelled Pro users to see if "low usage" is a widespread trend.
- Model the revenue impact of a lower-priced tier.
subscription-cancellation-feedback-analy.pdf
PDF · document
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
Stop guessing why your users are churning. This skill transforms raw cancellation feedback, support logs, and exit surveys into an evidence-based retention strategy. It moves beyond vague sentiments to identify specific, recurring objections and maps them to actionable experiments.
What it does
- Thematic Categorization groups raw feedback into non-overlapping themes like price-value gaps, missing features, or onboarding friction.
- Evidence-Based Reporting distinguishes direct customer quotes from analyst interpretations to ensure every insight is grounded.
- Objection Mapping isolates recurring roadblocks from one-off complaints to help you prioritize high-impact fixes.
- Experiment Briefing generates structured, untested hypotheses for retention tests, including primary metrics and guardrails.
- Research Synthesis identifies data gaps and formulates neutral follow-up questions to validate findings.
How it works
- Input Data: Provide your raw cancellation text, survey exports, or support excerpts along with basic product context.
- Analysis: The agent organizes entries, notes duplicates, and builds a grounded taxonomy based only on the provided text.
- Drafting: It generates a structured report covering themes, objections, and a journey-based friction analysis.
- Experimentation: The agent outputs specific experiment briefs designed to test retention improvements without using dark patterns.
Frameworks & tools
Works with CSV/Excel exports from Intercom, Zendesk, Stripe, Typeform, or custom SQL exports. Output is optimized for product managers and success teams.
Why this beats prompting it yourself
Generic prompts often hallucinate customer sentiments or suggest coercive "save" tactics. This skill enforces strict integrity rules that separate evidence from interpretation and ensures retention experiments remain ethical and measurable.
Use cases
- Analyzing quarterly churn data to inform the product roadmap.
- Auditing exit survey responses after a recent price increase.
- Designing A/B tests for a high-churn user segment.
- Identifying missing features that are driving users to specific competitors.
Known limitations
Does not perform statistical significance testing or connect directly to live databases. Findings are directional and limited by the quality and volume of the provided text sample.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
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