Research into a questionnaire

Research intent,
turned into a survey you can send.

Research intent becomes a deployable questionnaire: question wording, options, skip logic, and neutral phrasing. No invented statistics or sample sizes, no leading wording, and sensitive items are flagged for compliance and made optional.

Neutral wordingComplete optionsSensitive flags
01

Paste research intent

0 / 12,000 charactersMinimum 80

Content is used only for this AI request and is not intentionally stored by this site.

02

Review the survey

Your result will appear here

We split questions, complete the option sets, write out the skip logic, and flag sampling and sensitive-data items needing your confirmation.

SAMPLE OUTPUT

Here is exactly what you receive.

This is the complete output for the source text in the demo above: a usability score, itemised design reasoning, a confirm-before-launch list, and the generated survey. It is a demonstration, not a customer case.

SAMPLE

Survey result (sample)

Usability score88/100
+50
01

Rewrite the leading question neutrally

The source assumes the feature is useful. It becomes a usage question followed by an open rating, so respondents answer for themselves.

02

Complete the options and write the skip path

The intent had no options at all. A rating scale, an “Other [please specify]” field, and an explicit skip to Q4 for non-users are added.

03

Flag sensitive items separately

Age and income move from “the more details the better” to optional items with a purpose, a retention note, and a compliance flag.

Generated survey
# Smart recommendations: usage survey (draft)

**Q1. Have you used smart recommendations in the last 30 days?**
- Yes
- No (skip to Q4)

**Q2. Overall, how would you rate the feature?**
- Very dissatisfied / Dissatisfied / Neutral / Satisfied / Very satisfied

**Q3. Why did you give that rating? (optional)**

**Q4. Which of these affect whether you use the feature? (select all that apply)**
- Recommendation accuracy / Loading speed / Privacy concerns / Other [please specify]

**On sensitive data**: age and income are sensitive. Keep them optional, state the purpose and retention period, and confirm the requirements of the regions you publish in.

**Sample size**: [TO CONFIRM]. Not estimated here.

WHAT SURVEY DESIGN DOES

Not writing in the answer you want. Getting answers that carry information.

01

Write the question, then the options

One question per item, never two. Options are mutually exclusive and cover the common cases.

02

Keep the wording neutral

“Do you also find our new feature useful?” has answered itself. Neutral wording hands the judgement back to the respondent.

03

State skip logic explicitly

“If No, skip to Q4” is written as its own line with the trigger answer and the target question; no path is implied without being written.

WHY IT IS WORTH DOING

A biased questionnaire produces noise, not data.

01

Leading wording contaminates results

When the question carries a leaning, respondents follow it and you end up with the number you hoped for.

02

Incomplete options force random picks

Without a middle option or an “other” field, people click anything, and complete-looking data turns out unusable.

03

Sensitive items need a stated purpose

Income, health, and identity questions need a purpose, an opt-out, and a compliance check before they go out.

Note: standard questionnaire practice is neutral wording, mutually exclusive and reasonably exhaustive options, and sensitive items flagged and skippable. Compliance requirements vary by region and industry. This site handles structure and wording only; it does not compute sample sizes or analyse results, and gives no statistical or legal advice.

BUILD DEMO

The same research intent, built out.

Before

We want to know what users think of our new smart recommendations. Everyone finds it pretty useful, right? Also ask age and income, the more details the better.

Built
# Smart recommendations: usage survey (draft)

**Q1. Have you used smart recommendations in the last 30 days?**
- Yes
- No (skip to Q4)

**Q2. Overall, how would you rate the feature?**
- Very dissatisfied / Dissatisfied / Neutral / Satisfied / Very satisfied

**Q3. Why did you give that rating? (optional)**

**Q4. Which of these affect whether you use the feature? (select all that apply)**
- Recommendation accuracy / Loading speed / Privacy concerns / Other [please specify]

**On sensitive data**: age and income are sensitive. Keep them optional, state the purpose and retention period, and confirm the requirements of the regions you publish in.

**Sample size**: [TO CONFIRM]. Not estimated here.

Demo sample: the leading question becomes neutral, options and skip logic are written out, and sensitive items are flagged. Paste your research intent to get your version (sign-in required; one credit per run).

WHY YOU CAN TRUST IT

We put “no invented data” into our product principles.

No findings and no sample sizes invented

You will not see “most users think”, and no sample size or response rate is estimated. Those follow from your sampling plan.

No leading wording

Leaning phrasing is rewritten neutrally so the judgement belongs to the respondent.

Sensitive items flagged and optional

Income, health, and identity questions get a stated purpose, a retention note, and a compliance flag rather than slipping into the form.

Content is not stored

Submitted text is used for this single AI request and is not intentionally persisted. See the Privacy Policy.

FAQ

Ask these before you pay.

Will you compute my sample size?

No. Sample size depends on population, tolerated error, and confidence level. It belongs to your sampling plan, so the item is marked for you to confirm.

Do you handle skip logic?

Yes, as readable logic: a trigger answer and a target question, for example “If No, skip to Q4”. You configure it in your survey tool according to its question types.

How are sensitive questions handled?

Age, income, health, and identity items are marked optional with a note to state purpose and retention, and flagged for compliance review. That is not a legal opinion.

What does one build cost?

One credit per run, usually done in seconds, returning the survey draft, the reasoning, and items to confirm.

Do credits expire?

No. Credits never expire — whatever you do not use carries over to the next cycle instead of resetting.

Is there batch processing or an API?

Not yet. Each run processes one research brief and consumes one credit; there is no bulk upload or API today. Email us with your use case and we will assess it.

Is my content stored?

Not intentionally. Text is used for this single AI request only. See the Privacy Policy.

Which research fits?

Feature feedback, satisfaction studies, priority ranking, churn interviews, internal staff surveys — research briefs and drafts in Chinese or English.

SIMPLE PRICING

Prove the value before you upgrade.

Starter

$9/ month

For an occasional publishing cadence, with a focused monthly credit allocation.

  • 50 optimization credits per monthly renewal
  • Complete GEO analysis
  • Chinese and English output
  • Markdown export

Pro

Recommended$29/ month

For frequent publishers who iterate on content continuously.

  • 250 optimization credits per monthly renewal
  • Complete GEO analysis
  • Chinese and English output
  • Markdown export

Advanced

$79/ month

Our largest monthly credit allocation, for the heaviest continuous usage.

  • 1,000 optimization credits per monthly renewal
  • Complete GEO analysis
  • Chinese and English output
  • Markdown export
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Credits never expire: unused credits carry over instead of resetting. Credits apply to this site only and are not shared with other sites.

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