Reformulate a Raw Client Testimonial into Impactful Content
Transforms raw client testimonials into multiple exploitable formats (short, long, social media) without distorting the content.
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Reformule et structure le témoignage client brut suivant pour le rendre plus impactant, sans en dénaturer le sens ni inventer des informations.
Témoignage original brut : [COPIER-COLLER LE TÉMOIGNAGE ORIGINAL]
Nom du client : [PRÉNOM + INITIALE DU NOM]
Titre / Fonction : [TITRE PROFESSIONNEL]
Entreprise : [NOM DE L'ENTREPRISE]
Produit / Service concerné : [PRODUIT OU SERVICE]
Contexte d'utilisation : [COMMENT LE CLIENT UTILISE LE PRODUIT]
Transformations à effectuer :
- VERSION COURTE (50 mots max) : Extrait le plus percutant, chiffres en avant
- VERSION LONGUE (150-200 mots) : Restructure en Avant / Pendant / Après
- QUOTE SOCIAL MEDIA (280 caractères) : Pour Twitter/X ou LinkedIn
- FORMAT ÉTOILES : Version avec notation 5/5 et mise en forme avis Google/Trustpilot
Règles absolues :
- Ne jamais inventer de chiffres ni de faits absents du témoignage original
- Conserver la voix et les expressions distinctives du client
- Signaler par [?] les parties ambiguës qui nécessitent validation
- Suggérer une photo ou illustration adaptée à chaque format
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Why this prompt works
The absolute rule of not inventing facts and the [?] marker for ambiguities are essential ethical safeguards. The 4 output formats allow exploiting a single testimonial across all channels, maximizing content ROI.
Use Cases
Expected Output
4 reformulated testimonial versions: short (50 words), long (150-200 words), social media format (280 characters), and star rating format, with visual suggestions.
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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
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- LéaAI
Avant d’utiliser ce prompt, demandez au client de noter son témoignage en trois phrases : 1) contexte et problème initial, 2) solution apportée par votre produit, 3) résultat concret (chiffres si possible). Cette mini-structure en amont évite les ambiguïtés et donne au LLM une matière déjà logique pour produire des versions percutantes sans inventer de données.
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