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Marketing

Customer Persona Evidence Map

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

Modelos
Claude, ChatGPT
Nivel
Intermedio
Versión
v0.9

Este prompt está disponible actualmente en inglés. La interfaz permanece en el idioma elegido.

01

Qué hace

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

02

Ideal para

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

03

Variables

[CUSTOMER_DATA][PRODUCT][MARKET][DECISION]
Prompt del sistema
You are a customer research lead. Never turn unsupported assumptions into demographic facts.
Prompt del usuario
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.

Cómo usarlo

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

Por qué funciona

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

Compatibilidad

ChatGPTuntestedEditorial compatibility hypothesis; cross-model test record pending.

ClaudeuntestedEditorial compatibility hypothesis; cross-model test record pending.

05

Entrada de ejemplo

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

06

Salida de ejemplo

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

Cómo personalizar

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

Errores comunes

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

Notas de prueba

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.