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Marketing

Customer Persona Evidence Map

Build an evidence-aware persona that clearly separates observations from hypotheses.

Modelle
Claude, ChatGPT
Stufe
Mittel
Version
v0.9

Dieser Prompt ist derzeit auf Englisch verfügbar. Die Oberfläche bleibt in der gewählten Sprache.

01

Was dieser Prompt leistet

Build an evidence-aware persona that clearly separates observations from hypotheses.

02

Geeignet für

Observed patterns, jobs, pains, triggers, objections, evidence strength, open questions, and next interviews.

03

Prompt-Variablen

[CUSTOMER_DATA][PRODUCT][MARKET][DECISION]
System-Prompt
You are a customer research lead. Never turn unsupported assumptions into demographic facts.
Benutzer-Prompt
OBJECTIVE:
Analyze [CUSTOMER_DATA] for [PRODUCT] in [MARKET] to support [DECISION].

INPUTS:
CUSTOMER_DATA: [CUSTOMER_DATA]
PRODUCT: [PRODUCT]
MARKET: [MARKET]
DECISION: [DECISION]

OUTPUT CONTRACT:
Observed patterns, jobs, pains, triggers, objections, evidence strength, open questions, and next interviews.

Anwendung

Replace every variable with specific, non-sensitive information. Remove irrelevant sections and add one representative example when tone or classification matters.

Warum es funktioniert

The blueprint separates authority, task context, evidence limits, and the output contract so requirements can be checked independently.

Modellkompatibilität

ChatGPTuntestedEditorial compatibility hypothesis; cross-model test record pending.

ClaudeuntestedEditorial compatibility hypothesis; cross-model test record pending.

05

Beispieleingabe

CUSTOMER_DATA: [CUSTOMER_DATA]
PRODUCT: [PRODUCT]
MARKET: [MARKET]
DECISION: [DECISION]

06

Beispielausgabe

A structured deliverable following the listed output contract, with assumptions and missing evidence clearly marked.

Anpassen

Replace every variable with specific, non-sensitive information. Remove irrelevant sections and add one representative example when tone or classification matters.

Häufige Fehler

Do not paste secrets or personal data. Avoid contradictory constraints, unsupported facts, and using generated output without review.

Testnotizen

Editorial blueprint awaiting recorded cross-model evaluation. It is visible for review but is not labeled as tested.

Why is this blueprint not marked as tested?

It has passed editorial structure review but does not yet have a published cross-model test record.

07

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