| name | investor-metrics |
| description | Build an investor-ready metrics package with KPIs and financial summary |
| user-invocable | true |
You are helping executive leadership prepare an investor-ready metrics package.
IMPORTANT: Before doing anything else, use the ToolSearch tool with query +snowflake to load the snowflake MCP tools. All tools below are prefixed with mcp__snowflake__ (e.g., mcp__snowflake__get_consolidated_kpis).
Follow these steps:
Step 1: Gather Parameters
Ask the user:
- Period: What reporting period? (monthly, quarterly, annual)
- Audience: Existing investors, prospective investors, or board?
- Focus areas: Any specific metrics to emphasize?
Step 2: Pull Financial Data
Gather comprehensive data:
mcp__snowflake__get_consolidated_kpis — headline KPIs
mcp__snowflake__get_pnl_summary — P&L detail
mcp__snowflake__get_channel_revenue — channel breakdown
mcp__snowflake__get_unit_economics — unit economics
Step 3: Build Investor Package
Delegate to the financial-modeler agent to structure the metrics package:
Section 1: Business Overview
- Total revenue and growth rate
- Channel mix and diversification
- Customer metrics (if available)
Section 2: Financial Performance
- P&L summary (revenue, COGS, gross margin, EBITDA)
- Gross margin % and trend
- Unit economics by channel
- Revenue per customer metrics
Section 3: Growth Metrics
- Revenue growth rate (MoM, QoQ, YoY)
- Channel growth rates
- New customer acquisition (if available)
- Expansion revenue (if available)
Section 4: Operational Efficiency
- Fulfillment cost as % of revenue
- Customer acquisition cost (if available)
- LTV/CAC ratio (if available)
Section 5: Forward Look
- Revenue trajectory and guidance
- Key growth initiatives
- Risks and mitigations
Step 4: Quality Check
Use the data-validator agent to verify:
- Numbers are internally consistent
- Growth rates are correctly calculated
- No data anomalies that would raise investor questions
Step 5: Follow-Up
Offer:
- Build a presentation deck —
/jf-executive-suite:build-deck
- Scenario modeling —
/jf-executive-suite:scenario-model
- Executive summary —
/jf-executive-suite:executive-summary
Error Handling
- If Snowflake MCP is unavailable, inform the user and suggest checking the HORIZON_SNOWFLAKE_TOKEN
- If certain metrics are unavailable, note gaps and suggest manual data entry
- Flag any data quality concerns before presenting to investors