Export
Exporting GT tabulation, cross tabulation, and raw responses as CSV or Excel, including code vs label modes and Excel row limits.
Every dataset you collect in kicue can be exported as CSV or Excel. Combine the exports with your BI tools or statistical software (SPSS, R, Python, Tableau, ...) for deeper analysis.
What you can export
| Type | Format | Use |
|---|---|---|
| GT tabulation results | CSV / Excel | Share the simple tabulation |
| Cross tabulation results | CSV / Excel | Segment comparison tables |
| Raw responses | CSV / Excel | Every answer from every respondent |
Exporting raw data
Use the Export menu under the Analytics tab to download a raw data CSV.
Columns
respondent_id— unique respondent identifierstarted_at/completed_at— start and completion timestamps- One column per question (with the question ID / label)
- Any URL parameters (
utm_source,campaign, ...) - Fraud flags (
speeder,straightliner,bot,ai_agent, ...)
Code values vs labels
For raw exports you can choose between code values and labels.
- Code values — internal option IDs (1, 2, 3, ...) — ideal for statistical software
- Labels — the option text ("Male", "Female", ...) — ideal for Excel viewing
You can export both side-by-side as separate files.
CSV vs Excel
- CSV (UTF-8 + BOM) — scales to large datasets and plays nicely with BI tools
- Excel (.xlsx) — easier to read with formatting, but limited to 10,000 rows per sheet
The 10,000-row Excel limit
Excel exports are capped at 10,000 rows per sheet. For larger datasets, choose one of the following:
- Use CSV — no limit
- Filter and split — export by date range or segment
- Multi-sheet export — automatic splitting across sheets (plan-dependent)
Handling fraud-flagged responses
Exports include an option to exclude fraud-flagged responses.
- Excluded → clean data that matches the analytics view
- Included → full dataset with flag columns for downstream processing
Re-export
Data is always stored in its latest state, so you can export as many times as you like. Pull data mid-field or after cutoff — whenever you need it.
Privacy considerations
Exports do not include sensitive data such as respondent IP addresses (these are kept internally for fraud detection only).
Handle raw data according to your internal security policy before sharing externally.
Next topic
That concludes the Phase 1 documentation. More advanced topics are coming in later updates:
- Logic features (skip, piping, carry-forward)
- Quota management
- Detailed fraud detection configuration
- Team and permissions
- Billing plans
For questions and requests, use our contact form.
