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.
Le 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.
Remplacez les variables
[MARKET]Category + geography + timeframe.
[PURPOSE]Investment, entry, positioning, etc.
Quel modèle utiliser
- Gemini 3.1 Pro — Structured, multi-segment synthesis is more reliable on Pro.
Exemple d'entrée
- [MARKET] = "EU B2B e-signature tools, 2026". [PURPOSE] = "assess entry for a new startup".
Exemple de sortie
Nous ne publions que des exemples de sorties issus d'exécutions réelles sur un modèle. Ce modèle n'a pas encore été formellement testé, aucune sortie n'est donc affichée. Exécutez-le vous-même avec l'entrée ci-dessus.
Pourquoi cette structure fonctionne
- Segment-first structure prevents a vague, averaged answer.
- Tagging ESTIMATE vs sourced keeps you honest with stakeholders.
Échecs courants et correctifs
Numbers look precise but are unsourced.
Correctif : Reject any figure without a named source; ask the model to downgrade it to a range.
Limites connues
- Market sizes drift fast; re-run and re-verify before publishing.