Solutions · Market research Analyze studies. Understand numbers and open-ended responses together.
Bring the data you already have and prepare verifiable results for your team or your clients.
The tables are ready. The open-ended responses are still waiting.
Whether in-house or at an agency: between the end of fieldwork and the report, the same hurdles come up again and again.
The challenge: Scores here, reasons there
The cross-tabs show the scores, while the open-ended responses sit in a separate list. Which reason belongs to which rating gets lost along the way.
With deepsight: Scores and reasons together
Upload the raw dataset with open and closed questions. You then see the reasons behind every rating – and which groups give each reason.
Go to group comparisonThe challenge: The “Other” category keeps growing
Anything that doesn’t fit a code ends up under “Other”. Once that residual category gets large, someone reads through it again by hand.
With deepsight: Search “Other” again
On request, deepsight checks unassigned responses against your categories once more; the responses checked count toward your text allowance. Select at least five remaining responses and deepsight suggests a new category – nothing is applied until you have reviewed it.
See all featuresThe challenge: Each country codes on its own
International studies are often coded separately for each language. Whether the categories mean the same thing everywhere only becomes clear when the data is merged.
With deepsight: One category system for all languages
Built-in translation lets you analyze responses in other languages together: all markets use the same categories, and the original stays available.
Go to translationThe challenge: Explaining the study context every time
The study’s goal, target group and key terms are in the briefing. Someone has to explain them again for every analysis, or the context is missing.
With deepsight: Your briefing as an analysis profile
Store the goal, target group and key terms as an analysis profile – drafted from your briefing if you like. The profile is versioned, and each analysis records the version it used.
Go to methodology
A rating and the reason behind it
Every open-ended response stays linked to the respondent’s other answers. That lets you compare topics across groups and check them against the actual wording.
“The app is easy to navigate, but since the update I can no longer find my old invoices.”
Select a category to see the matching passage.
The “Invoice archive” category can be broken down by group and satisfaction. For every share, you see the assigned responses word for word.
- Compare categories across groups, waves and closed questions
- Check the assignments for each category against the original responses
- Merge, split and rename categories
Illustrative example.
With suggested topics or your own codebook
Wave comparison is included in every paid plan – see the plan comparison.
For your team or your clients
In-house research teams and research agencies use the same features, but deliver their results to different audiences.
Analyze your own studies and report internally
You are responsible for customer, brand or product studies and need results your team understands and can verify.
- Existing data from your current survey tool, loaded as an Excel or CSV export – plus existing cross-tab reports (Excel, common German-language layouts); you can keep using the tool
- New responses collected with surveys in deepsight cloud when needed (participation is currently in German)
- Open and closed questions of a study, analyzed together
- Results shared as a dashboard or passed on as a report and PowerPoint
Handle client projects with your codebook
You work with predefined codebooks and deliver results you can defend to your clients.
- Your own codebook, including parent and child categories
- Group comparisons with optional significance indicators and weighting – by a weight column or to target distributions (rim weighting)
- Delivery as an Excel or CSV export, report or PowerPoint; share reports via a link – recipients do not need an account
- Separate organizations for clients who must not see each other’s data, set up by us in the Enterprise plan (plan comparison)
- Every assignment checked against the original response before delivery (see our methodology)
If your tables come from a different analysis tool, slide factory turns them into slides in your own template.
Typical studies
What your study data can tell you
- Which reasons do dissatisfied respondents give that satisfied ones don’t?
- Do markets or target groups differ in the topics they raise?
- Does a group stand out statistically on a particular topic?
- Which categories in your codebook are hardly mentioned – and which topics is it missing?
- How do respondents describe a topic in their own words – and which response works as a quote?
What you start with
The Excel or CSV files your fieldwork already produces.
Coded in minutes instead of weeks – reviewed with your expertise.
deepsight suggests categories and assignments, and you decide what goes into the report.
From the end of fieldwork to reviewed results
- Prepare the data
Upload the raw dataset; if you wish, the data quality check filters out empty or content-free responses before the analysis.
Data quality check - Add context
Select the study’s analysis profile or create a new one.
- Code
deepsight codes the responses using your codebook or suggests categories.
Topic analysis - Review and adjust
Correct assignments and adjust categories; every change is saved as a topic version.
Topic refinement - Compare groups
Break categories down by rating, target group or market, with significance indicators if you wish. Pin findings and quotes for the report.
Group comparison
Good to know: Names, email addresses or phone numbers in responses are masked by anonymization before the analyses run. If translation is switched on, texts are translated before masking. Anonymization doesn’t catch every detail – check the results before sharing them.
Your reviewed results are kept – even if a new AI run turns out differently.
Completed runs can be reopened later – for example, when questions come up about a study you have delivered.
What matters when you analyze open-ended questions
Check samples against the original
Read a sample of the assignments for each category, and small categories in full. Watch for categories that have become too broad and for responses assigned to several categories.
Report the base
Shares and scores refer to the analyzed responses in a group; whatever the data quality check filters out doesn’t count toward the base. A response can be assigned to several categories, so the shares can add up to more than 100 percent. Values with a base below 10 are flagged or hidden in group comparison and dashboards.
Read significance as an indicator
Significance indicators compare one group with the rest of the sample, not two groups with each other; the test runs from 30 cases per group. They show where a difference is statistically notable – not why it arises.
Double-check translations
Machine translation isn’t flawless. Check key statements against the original; with the AI-based translation, a glossary in the study context helps translate technical terms consistently.
Questions about market research with deepsight
Through the Excel or CSV export. For each response, it contains the assigned categories and, optionally, the columns of your original dataset, such as the case number. For codebook analyses, you export either codes or descriptions, provided your codebook lists the codes as category names and the plain text as the description. You then continue working with this file in your tabulation or statistics software. A hierarchical codebook report in Excel is coming soon.
Start by getting to know the solution in a personal demo. Afterwards, you’ll receive test access; we agree on the scope of the test together based on your project. A study you have already coded by hand is a good basis for comparison.
deepsight cloud runs on Microsoft Azure in the EU. For AI features we use Azure OpenAI; Microsoft does not use your data to train AI models. DeepL or Google are only used for translation if you choose these services. We sign a data processing agreement under Art. 28 GDPR, and a list of the service providers we use is available on request. Especially relevant for client data: support staff can only access content with time-limited approval from your admin, you set retention periods for uploaded datasets per project or for the whole organization, and in the Enterprise plan we set up separate organizations, each with its own user accounts, for clients who must not see each other’s data. More under Security.
Then we look into a custom project, for example for special system integrations, local language models or your own software for coding qualitative interviews.
Related to market research
See study analysis in deepsight
We will show you analysis, review and export using an example from your field.