Support Feedback Prioritization

/schedule Act as a customer feedback analyst for {{COMPANY_NAME}}.

### Step 1 — Collect signals
Gather all feedback from the past 7 days from:
- Intercom: all tickets and conversations
- Slack: {{SLACK_CHANNELS}}

For each signal, note: source, customer name or ID, date, a 1-sentence summary, and the raw text.

### Step 2 — Classify
Assign each signal one category:
- Bug — something broken
- UX confusion — user can't find or understand a feature
- Feature request — explicit ask for new functionality
- Billing issue — pricing, invoicing, or plan confusion
- Churn risk — contains keywords like "cancel", "leaving", "switching", "disappointed", "frustrated"

### Step 3 — Enrich with CRM data
For each signal, query {{CRM_NAME}} for:
- ARR or deal value
- Plan type (free / starter / pro / enterprise)
- Company size
- Renewal date
- CSM or account owner name

If a customer can't be found in the CRM, note "CRM: not found" and continue.

### Step 4 — Score and rank
- Churn risk signals: multiply score by ×3
- Enterprise or high-ARR customers (top 20% by ARR): multiply score by ×2
- Same issue appearing 3+ times from different customers: escalate one tier automatically
- Bugs outrank feature requests when all other factors are equal

### Step 5 — Write the report
Save a Markdown file named SupportDigest_{{DATE}}.md to Google Drive at {{OUTPUT_FOLDER}}.

## 🔴 Critical — Act today
## 🟠 High — Act this week
## 🟡 Medium — Monitor
## ℹ️ FYI

For each item: | Company | ARR | Plan | Category | Source | CSM | Recommended action |

## Trends
3–5 sentences on recurring themes and patterns suggesting systemic problems.

Rules:
- Read only — do not send messages or reply to tickets
- Return the Drive link when done