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deepsight cloud · Surveys Your brief becomes a questionnaire draft.

You review questions, answer options and flow before the survey goes live.

Common hurdles

Asking the questions is quick. Everything in between takes the work.

Retyping the questionnaire, keeping an eye on fieldwork, exporting data, coding open-ended responses by hand. Survey after survey.

  1. The challenge: The questionnaire gets written twice

    The questionnaire from the last study sits in a Word file or PDF. Someone then retypes every question and every answer option in the survey tool.

    With deepsight: A draft from your document

    deepsight reads in the questionnaire and turns it into a draft with questions, question types and answer options. Methodological notes appear next to each question.

    See the draft
  2. The challenge: Open-ended answers that stop at one word

    Online, nobody probes. “What should we improve?” gets “Support.” – and the why stays unclear.

    With deepsight: Following up while the person is still answering

    The AI asks a short, neutral follow-up, such as “What exactly about support should we improve?” If an answer already says enough, there is no follow-up.

    See the AI follow-up
  3. The challenge: Does the follow-up cost you participants?

    Every follow-up makes the survey longer. If participants drop out because of it, you lose exactly the answers you were after.

    With deepsight: Spotting drop-outs while fieldwork is running

    The field monitor shows participations, how many of them are still in progress or were abandoned at each question, and the status of your quota. If many participants drop out at an open-ended question, you lower its follow-up depth – effective from the next participant.

    See follow-up depth
  4. The challenge: An export between fieldwork and analysis

    Export the data, load it into the analysis software, map the columns, code open-ended responses in a separate file. Export after export.

    With deepsight: Analysis without a detour

    In the analysis dialog, you choose banner tables for the closed-ended questions and a topic analysis of the open-ended ones – with no export in between.

    See topic analysis
1 · Draft

Import a brief or document

deepsight creates a draft from your brief or an existing questionnaire. You decide on every suggestion yourself.

22 seconds
Illustrative example · Read the content

An illustrative brand study: a brief becomes open and rating-scale questions. An AI flag highlights a leading question. The researcher reviews and applies a neutral suggestion, then publishes the questionnaire.

From a brief to a questionnaire

Suggested questions
  • Overall, how satisfied are you with your last purchase?Scale 1–5
  • How likely are you to recommend us?Scale 0–10
  • What is the main reason for your rating?Open-ended response
  • Which channels did you use?Multiple choice
2 · Survey

An optional AI follow-up

For open-ended questions, deepsight can ask a follow-up when an answer is brief. Participants can skip it.

How the follow-up works
  • For brief answers: the AI follows up when an open-ended answer says little about the question.
  • In context: the follow-up refers to the answer and to the goal of the question.
  • Optional: participants can skip the follow-up.
  • Can be enabled: you switch the follow-up on; it uses a separate allowance.
17 seconds
Illustrative example · Read the content

“The design.” prompts the AI follow-up “What do you like about it?”. The participant types “The packaging feels premium. But the price is too high for me.” Topics and sentiment preserve both perspectives. Follow-ups can be enabled, and responding remains optional.

AI asks a focused follow-up

Reaching participants: You share the participation link through your own channels, such as your email list, intranet or panel provider; redirecting participants back to the panel is supported. Participants do not need an account; participation is currently available in German only. Questionnaires can include matrix questions, skip and filter logic, and a quota question with screen-out.

3 · Analysis

Open-ended and closed-ended responses together

18 seconds
Illustrative example · Read the content

100 illustrative responses, two perspectives: the recommendation question produces an NPS of +31 (49% promoters, 33% passives, 18% detractors). Open responses reveal design, quality and price as topics. An excerpt labeled as an original response is visibly typed. Both analyses belong to the same study.

Analyze open-ended and closed-ended questions together

Responses go straight into the analysis. Open-ended answers are organized by topic and can be compared with the closed-ended questions. You build tables and analyses from these results and check them before you share them.

Introductory offer & billing

What applies, and what counts

Introductory offer

Introductory customers receive the surveys package at no extra charge with a paid cloud plan.

The duration and usage scope are specified in your offer before you start, and we activate surveys for your organization as part of the introduction. You receive a transparent follow-up offer before it ends; there is no automatic paid extension.

Counts toward your allowance
Analyzed open-ended responses count toward your text allowance.
Repeat analysis
A new completed analysis run can count the same texts against your allowance again.
Data quality checked
Once you have completed the data quality check, filtered-out responses do not count. Without this check, every row in the dataset counts.
Does not count
Closed-ended responses and quantitative tables do not use the allowance. There is no additional per-participant survey fee during the agreed introductory period.
Separate allowance
AI follow-ups use a separate agreed monthly allowance.
Agreed in advance
Larger surveys and additional usage are agreed in advance.
Use cases

What you can find out with a survey

  • How satisfied are customers – and how do they explain their rating?
  • What would employees change about processes, collaboration or equipment?
  • What do users expect from a new offering before it launches?
  • How do participants rate an event, a program or an initiative?
  • Which topics do participants raise that nobody thought of when writing the questionnaire?
  • What has changed since the last survey?

Good to know: You’ll find examples for each field under customer surveys, HR and social research.

Starting point

What you start with

A briefGoal, target group and topics in a few sentences. This turns into questions with a question type, answer options and a research goal for each question – as a suggestion.
An existing questionnaireFinished or half-finished, as a Word, text or Markdown file or as a PDF containing text. In the editor, you can still see which part of the document each question comes from.
Your brandingYour organization’s logo and accent color, plus your own texts for the introduction, the end page and screen-outs. Font sizes are fixed so the survey stays easy to read, on a phone as well.
Process

From draft to checked result

  1. Refine

    You work on the draft in the editor. On request, the AI suggests changes, such as a more neutral wording, and lists them so you can accept them one by one.

  2. Test

    In a test run, you go through the paths in your questionnaire and see where the AI would follow up, and why. Test responses don’t count and never end up in a dataset.

  3. Launch fieldwork

    You launch fieldwork, with a fixed end date if you like. You can adjust your quota targets during fieldwork; any reduction is documented.

  4. Analyze

    Several open-ended questions are analyzed in one run. Beforehand, a preview shows how many texts count toward your allowance and how much of it is left this month. Each participation counts once per analyzed open-ended question, even if the answer is empty; an interim and a final analysis each count in full.

    Topic analysis
  5. Check and compare

    You check the topics against the original responses and adjust them. Then you compare groups, with significance indicators if you like.

    Group comparison
Results

What you have at the end

Banner tablesThe closed-ended questions as cross-tabs with column percentages or means, right in the cloud. deepsight builds the banner automatically from the quota question and other single-choice questions.
Topics with evidenceOpen-ended responses, including follow-ups, organized by topic, with the verbatim responses for each topic.
Report and PowerPointShare results as a report via link, export them to PowerPoint or put them together in a dashboard. You can export the data to Excel or CSV.Go to reporting
The next waveYou duplicate a survey as a follow-up survey. If a question matches an existing time series, you add the results as a new wave.

Good to know: Wave comparison is included in every paid plan – see the plan comparison.

One row per participant: ratings, attributes and open-ended answers.

So you can see, for example, how dissatisfied participants explain their rating.

Methodology

What matters in AI-assisted surveys

Suggestions stay suggestions

Accepted AI suggestions are marked in the editor. Methodological notes you decline remain visible next to the question, so it stays clear what was decided.

Follow-ups in moderation

For each open-ended question, you set how many follow-ups the AI may ask at most (follow-up depth), and in which tone. Empty or skipped answers never trigger a follow-up.

A fixed questionnaire in the field

Once fieldwork starts, the order, question types and answer options stay as they are. You can only add new questions after confirming, because earlier participants never saw them. In follow-up surveys this is locked so waves remain comparable.

Provisional stays provisional

Analyses during fieldwork are marked as provisional. As soon as you close fieldwork, the banner tables are updated to the final responses; a fixed end date only closes the participation link.

FAQ

Questions about surveys in deepsight cloud