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📊Analyse de donnéesIntermediateAll AIs

Survey and questionnaire analysis

Complete survey results analysis with statistics, segmentation, verbatim analysis, and summary report.

Paste in your AI

Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.

J'ai mené une enquête auprès de [NOMBRE_REPONDANTS] répondants sur [SUJET_ENQUETE]. L'enquête comportait [NOMBRE_QUESTIONS] questions : [N_QCM] QCM, [N_ECHELLE] questions sur échelle de Likert et [N_OUVERTES] questions ouvertes.

Objectif de l'enquête : [OBJECTIF]
Population cible : [POPULATION] | Taux de réponse : [TAUX_REPONSE]%
Période de collecte : [PERIODE]

Analyse les résultats de cette enquête :

  1. Analyse descriptive : distribution des réponses pour chaque question avec visualisation recommandée
  2. Analyse de la fiabilité : cohérence interne (alpha de Cronbach pour les échelles)
  3. Segmentation des réponses par [VARIABLES_DEMO] et identification des différences significatives
  4. Analyse des corrélations entre questions pour révéler des patterns cachés
  5. Analyse thématique des questions ouvertes : extraction des thèmes récurrents
  6. Identification des insights les plus surprenants ou contre-intuitifs
  7. Calcul des scores composites pertinents (ex : indice de satisfaction)
  8. Rédaction du rapport de synthèse avec recommandations priorisées
  9. Identification des biais potentiels (biais de désirabilité sociale, de sélection)

Précise le format du rapport de sortie souhaité : [FORMAT_RAPPORT]

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Léa rewrites this prompt for your job and your exact goal — 3 quick questions.

Why this prompt works

<p>This prompt is effective because it integrates statistical reliability verification (Cronbach alpha) and bias identification, ensuring solid and methodologically defensible conclusions.</p>

Use Cases

Employee survey analysisPost-purchase customer satisfaction studyMarket survey before product launch

Expected Output

Descriptive analysis, correlations, verbatim themes, composite scores, identified biases, and summary report.

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Comments

  • LéaAI

    Pour éviter un rapport trop générique, remplacez les variables par des valeurs réelles et ajoutez le contexte spécifique de votre secteur. Vous pouvez aussi demander des tests statistiques précis (ex. khi², t de Student) pour renforcer l'analyse des différences significatives.

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