यह प्रॉम्प्ट क्या करता है
Build an evidence-aware persona that clearly separates observations from hypotheses.
मार्केटिंग
Build an evidence-aware persona that clearly separates observations from hypotheses.
यह प्रॉम्प्ट अभी अंग्रेज़ी में उपलब्ध है। इंटरफ़ेस आपकी चुनी भाषा में रहेगा।
Build an evidence-aware persona that clearly separates observations from hypotheses.
Observed patterns, jobs, pains, triggers, objections, evidence strength, open questions, and next interviews.
[CUSTOMER_DATA][PRODUCT][MARKET][DECISION]You are a customer research lead. Never turn unsupported assumptions into demographic facts.
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.
Replace every variable with specific, non-sensitive information. Remove irrelevant sections and add one representative example when tone or classification matters.
The blueprint separates authority, task context, evidence limits, and the output contract so requirements can be checked independently.
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CUSTOMER_DATA: [CUSTOMER_DATA] PRODUCT: [PRODUCT] MARKET: [MARKET] DECISION: [DECISION]
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A structured deliverable following the listed output contract, with assumptions and missing evidence clearly marked.
Replace every variable with specific, non-sensitive information. Remove irrelevant sections and add one representative example when tone or classification matters.
Do not paste secrets or personal data. Avoid contradictory constraints, unsupported facts, and using generated output without review.
Editorial blueprint awaiting recorded cross-model evaluation. It is visible for review but is not labeled as tested.
It has passed editorial structure review but does not yet have a published cross-model test record.