Plan a small data study that earns mentions

Prompt that plans a small study from your own anonymous data or a survey that trade media can report on. Paste it into an AI tool of your choice, which then plans a data study.

Topic: Audience & strategy
Type: Prompt
Level: Intermediate
Time: about 10 min

Results depend on the tool, the model and what you enter.

Result preview

Example: written by our editors, not real AI output.

Question: At what times do customers book appointments with trade businesses? Method: 12 months of bookings from the scheduling software, hour and weekday only, no personal data Minimum size: groups under 50 bookings are merged Key findings (placeholders): "[X]% of appointments are booked after 6 pm" · "Monday is the busiest booking day at [Y]%" · "[Z]% of requests arrive at the weekend" Charts: heat map hour × weekday, bars per trade Distribution: two trade magazines, three blogs on digitalisation, newsletter

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DataWhich data or survey?

IndustryIndustry and audience?

GoalWhat should the study achieve?

Your prompt

Plan a small data study that others can report on.
Data or survey: [Data]
Industry and audience: [Industry]
Goal: [Goal]
Approach: 1. Collect five possible questions that genuinely interest the audience and that the data can answer. 2. Pick one and describe the method with period, sample and limits. 3. Check whether the analysis works with aggregated, anonymous values only, and set minimum group sizes so nobody can be identified. 4. Draft three possible key findings as placeholders, to be filled with real figures only after the analysis. 5. Plan charts, a short method box and a list of suitable trade media or blogs by topic.
Output: study plan, method box, placeholder key findings, chart ideas and distribution plan. Do not invent results.

Take particular care to invent no results and publish only aggregated, anonymous values.

Before you answer, check: Are all instructions met? If key information is missing or a placeholder in square brackets is still in the text, ask instead of guessing. Mark assumptions as assumptions.

Plan a small data study that others can report on.
Data or survey: [Data]
Industry and audience: [Industry]
Goal: [Goal]
Approach: 1. Collect five possible questions that genuinely interest the audience and that the data can answer. 2. Pick one and describe the method with period, sample and limits. 3. Check whether the analysis works with aggregated, anonymous values only, and set minimum group sizes so nobody can be identified. 4. Draft three possible key findings as placeholders, to be filled with real figures only after the analysis. 5. Plan charts, a short method box and a list of suitable trade media or blogs by topic.
Output: study plan, method box, placeholder key findings, chart ideas and distribution plan. Do not invent results.

Take particular care to invent no results and publish only aggregated, anonymous values.

Before you answer, check: Are all instructions met? If key information is missing or a placeholder in square brackets is still in the text, ask instead of guessing. Mark assumptions as assumptions.

This is an instruction for an AI, not the result itself.

Where this prompt works

These AI tools are a good fit for this prompt:

How to use it

Fill in the fields or tap a suggestion. Leave out names, addresses and other personal data.
Copy the finished prompt into an AI tool of your choice.
Publish the study on its own page with a method box and downloadable charts so editors can cite it easily.

Why does this work?

Editors and bloggers look for new, reliable figures. A small, carefully made analysis often earns more mentions than many general posts, and they are mentions you do not have to buy.

Tips

Surveys and customer data fall under the GDPR: use only data you have a legal basis for, and publish only aggregates. Ask your data protection adviser if in doubt.

You may use our prompts freely, including at work. Please do not republish them as your own collection. We give no warranty for AI results; check them yourself. Terms of use

Plan a small data study that earns mentions

Result preview

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