Direct Gemini to map a market by segment, size each claim with a source and date, and flag every number it cannot support so you know where to dig.
Il prompt
Produce a market scan of [MARKET] for [PURPOSE]. Break it into segments. For every quantitative claim, attach the source and its date, and mark estimates as ESTIMATE. End with the three biggest unknowns and what evidence would resolve them. Do not present unsupported numbers as facts.
Sostituisci le variabili
[MARKET]Category + geography + timeframe.
[PURPOSE]Investment, entry, positioning, etc.
Quale modello usare
- Gemini 3.1 Pro — Structured, multi-segment synthesis is more reliable on Pro.
Input di esempio
- [MARKET] = "EU B2B e-signature tools, 2026". [PURPOSE] = "assess entry for a new startup".
Output di esempio
Pubblichiamo output di esempio solo da esecuzioni reali del modello. Questo template non è ancora stato testato formalmente, quindi non viene mostrato alcun output. Eseguilo tu stesso con l'input qui sopra.
Perché questa struttura funziona
- Segment-first structure prevents a vague, averaged answer.
- Tagging ESTIMATE vs sourced keeps you honest with stakeholders.
Errori comuni e soluzioni
Numbers look precise but are unsourced.
Soluzione: Reject any figure without a named source; ask the model to downgrade it to a range.
Limiti noti
- Market sizes drift fast; re-run and re-verify before publishing.