AI Blocks › Understand your customers
Check a marketing survey before sending it
Share the source files. Get a revised survey, bias review and analysis plan.
Check a marketing survey before sending it is a free AI workflow for the job "Understand your customers". It guides your AI through several skills in order, passing each step's output to the next.
Free · No account · Made by AI Blocks · Thinking: high
What it does
A revised survey, bias review and analysis plan. Give your AI the source material listed below and install the complete pack. It uses the component skills in the stated order, saves each result and checks the handoff before continuing. Questions avoid leading wording; sampling limits and consent are explicit before distribution. Missing tools or evidence stay visible in the final summary.
You give it
- The decision to inform, draft questions, intended respondents and recruitment plan.
- The intended reader, deadline and limits on what may be changed.
- Earlier work and approved examples, if available.
You get
- A revised survey, bias review and analysis plan.
- Step files with evidence, unresolved facts and actual checks completed.
- A hand-back summary and one practical next step.
Use it when
- You need a revised survey, bias review and analysis plan.
- The relevant facts are spread across files or notes and need one consistent review.
- You want the work and its checks saved so another person can review it.
Steps
- Market size and survey planner: Give it your market. Get market size two ways, survey sample sizes and segments scored.
- Interview and research planner: Describe your research question. Get a plan with recruiting, interview guide, synthesis steps and next product decisions.
How to use it
- Download the complete pack and add its governing file and component skills to your AI.
- Share the sources listed above and say which result you need.
- Ask the AI to follow the governing file, save each result and stop on a failed required check.
- Review the files, missing facts and proposed actions before using the result.