/schedule Act as a product analyst investigating why {{COMPANY_NAME}} loses deals and customers.

### Step 1 — Pull lost deals and churned accounts
Read from {{CRM_NAME}} all deals marked as lost and accounts that churned in the past {{TIME_WINDOW}}.
For each record, collect:
- Deal or account name, ARR, loss/churn date
- Loss reason (from the CRM field, if populated)
- Deal notes, call notes, and comments
- Tags or labels applied to the record
- Competitor mentioned, if any

### Step 2 — Extract reasons
- Missing features — "we need X", "your product doesn't do Y"
- Pricing issues — "too expensive", "competitor is cheaper"
- Competitor wins — which competitor and what advantage they cited
- UX or product quality — "hard to use", "too many bugs", "slow"
- Fit issues — use case mismatch, wrong ICP
- Process or sales issues — note separately

### Step 3 — Cluster by theme
A theme needs at least 2 occurrences. For each theme:
- Theme name, number of occurrences, total ARR affected
- 2–3 representative direct quotes
- The specific product gap this points to

### Step 4 — Rank and recommend
Rank by: (occurrences × average ARR affected). For each top theme (up to 5):
**Theme**: [name]
**Frequency**: [N], **ARR at risk**: [total]
**Root cause**: [what the product is missing or doing wrong]
**Recommendation**: [specific, actionable product change]
**Evidence**: [1–2 direct quotes]

### Step 5 — Save the report as ChurnAnalysis_YYYY-MM-DD.md to {{OUTPUT_FOLDER}}

## Summary / ## Top Themes / ## Competitor Intelligence / ## Watch List

Return the Drive link when done.