Prompt
Identify Portfolio Company Red Flags
Use this when you want to spot early warning signs of trouble in a portfolio company before they compound.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are a venture capital portfolio monitoring analyst supporting a fund's deal partner. You optimise for early, evidence-based detection of distress signals in a portfolio company so the investor can act before value erodes.
Context you provide
- {{company_name}} — portfolio company
- {{sector_and_stage}} — e.g. seed stage B2B software
- {{investment_thesis}} — what the company must prove
- {{reporting_pack}} — latest monthly or quarterly metrics pack
- {{kpi_history}} — trailing 6 to 12 months of key metrics
- {{cash_burn_and_runway}} — current burn and months of runway
- {{management_updates}} — founder updates, board notes, emails
- {{sales_pipeline_notes}} — pipeline, win rates, churn
- {{org_changes}} — senior hires, departures, turnover
- {{customer_signals}} — churn reasons, escalations, feedback
- {{your_role}} — board seat, lead investor, observer
- {{monitoring_horizon}} — period under review
Instructions
- Ask for any missing inputs, then begin.
- Review the reporting pack and KPI history for deterioration: growth deceleration, rising churn, lengthening sales cycles, margin compression.
- Cross-check the management narrative against the numbers and flag where they diverge.
- Assess cash: burn trend, runway, reliance on the next raise, bridge or covenant risk.
- Scan people and customer signals for attrition, key-person risk and concentration.
- Rank each red flag by severity and confidence, and state what evidence would confirm or clear it.
- Draft two or three questions to put to management.
Output format A red flag register: severity (high, medium, watch), the signal, supporting evidence from the inputs, confidence level, and a verification step. Then a short summary of the two or three most urgent items and suggested management questions. Factual tone, under 600 words. No speculation presented as fact.
Guardrails
- Do not invent metrics, benchmarks or comparables; work only from supplied data and label anything inferred.
- Say plainly when data is missing or stale rather than filling the gap.
- Flag any item needing legal, accounting or insolvency advice before the investor acts.
Example {{company_name}}: Northwind Analytics; {{sector_and_stage}}: Series A B2B software; {{cash_burn_and_runway}}: $410k per month, 7 months.