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Grok Bot+18 agentsAI Customer Feedback Revenue Opportunity Miner
Turn raw customer feedback and support tickets into a prioritized, revenue-backed product roadmap.
$9
AI Customer Feedback Revenue Opportunity Miner
Example session with this skill installed
Analyze this CSV of 50 customer cancellation reasons and NPS comments. Include MRR data from the 'MonthlyRev' column. Tell me why we are losing revenue and what to build first.
- Read your context and instructions
- Compiled the ai customer feedback
The analysis of 50 records across 42 unique accounts shows that reliability issues in the reporting module are the primary driver of churn, affecting 22% of the sampled revenue.
Executive Revenue Summary
The biggest commercial finding is a significant churn risk in the Enterprise segment due to API rate-limiting friction. Total churn exposure is $14,500 MRR. The first action should be a 30-day trial of increased API limits for high-usage accounts to stabilize retention.
Revenue Opportunity Map
| Opportunity | Customer Problem | Segment | Type | Priority Score | Evidence Level |
|---|---|---|---|---|---|
| API Limit Increase | Rate limiting blocks daily sync | Enterprise | Retention | 82 | VERIFIED |
| Bulk Export Feature | Manual data entry takes 2+ hours | Mid-Market | Efficiency | 64 | STRONG SIGNAL |
| SSO/SAML Support | Compliance hurdles for new seats | Enterprise | Upsell | 58 | EMERGING SIGNAL |
Product Opportunity Backlog
[
{
"item": "API Infrastructure Upgrade",
"score": 82,
"classification": "Reliability",
"validation_step": "Monitor churn rate of top 10 API consumers after limit increase trial."
},
{
"item": "Automated CSV Export Scheduler",
"score": 64,
"classification": "Product",
"validation_step": "Interview R12 and R24 to confirm if automation removes switching intent."
}
]
Next steps
- Review the Retention Risk Map to identify the five Enterprise accounts at immediate risk of cancellation.
- Validate the "Strategic Bet" regarding SSO support by checking the 'Enterprise Compliance' tag in your CRM.
- Initiate the 30-day API limit test for the records identified in the Dataset Audit.
Assumptions & Evidence Gaps
- Strategic Fit: Set to 3 (Neutral) as no company strategy was provided.
- Missing Data: The 'Plan' field was missing in 12 records; these were treated as 'Standard' for modeling.
- Trend Gap: Cannot assess if reliability issues are rising as date metadata was incomplete.
Connects securely to your tools. The creator never sees your data.
About this skill
Sifting through raw customer feedback to find growth opportunities is a manual bottleneck for product and sales teams. This skill transforms unstructured text, support tickets, and NPS surveys into a prioritized commercial roadmap backed by hard evidence.
What it does
- Commercial Intelligence Mining extracts expansion signals, churn triggers, and pricing friction from raw customer text.
- Evidence-Based Scoring calculates a Priority Score for every finding based on frequency, revenue impact, and severity.
- Revenue Exposure Modeling quantifies the specific MRR or ARR at risk or available for upsell using supplied account data.
- Multi-Source Auditing analyzes support tickets, CRM notes, and transcripts separately to account for source bias.
- Actionable Roadmapping generates a 30/60/90-day execution plan with success metrics for each initiative.
How it works
- Data Ingestion where you provide a CSV, XLSX, or text block containing customer feedback and optional revenue metadata.
- Quality Audit to map columns, identify missing fields, and flag potential sampling bias in the dataset.
- Opportunity Scoring where the agent applies a rigorous 1-5 rubric across five dimensions to rank every theme.
- Strategic Reporting providing a formatted 11-section analysis from executive summaries to product backlogs.
Frameworks & tools
This skill is compatible with any environment that handles text and tabular data, including Claude, GPT-4, and Python-enabled agents. It works with data exported from Intercom, Zendesk, Salesforce, HubSpot, and Delighted.
Why this beats prompting it yourself
Generic prompts often hallucinate customer quotes or ignore low-frequency signals from high-value accounts. This skill enforces strict evidence levels (VERIFIED to HYPOTHESIS) and specific arithmetic for revenue exposure, ensuring your roadmap is based on math rather than vibes.
Use cases
- Churn Analysis to identify the specific product gaps causing high-value accounts to switch to competitors.
- Expansion Strategy to find customers asking for higher limits or premium features in support tickets.
- Product Prioritization to rank a backlog based on actual revenue impact rather than just request volume.
- Pricing Research to detect willingness-to-pay signals or packaging friction in sales call transcripts.
Known limitations
Datasets under 20 records are treated as small samples with capped confidence scores. It requires manual column mapping if headers are non-standard and cannot convert currencies without provided rates.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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