The problem
- Questionnaire tools, panel providers, and analysis packages live in separate systems that never quite line up.
- Exporting to SPSS or running significance tests means a manual hand-off to a statistician.
- Sample quality is a guess — fraud and inattentive respondents quietly inflate your numbers.
- By the time the data is clean, the decision window has already closed.
How Surveti helps
Research-grade question types
MaxDiff, conjoint, constant sum, semantic differential, and grids — the instruments a serious study needs, not just stars and text boxes.
Buy sample without leaving the tool
Order panel directly through Cint and Prolific, with quotas and redirects handled inline so completes reconcile automatically.
Analysis built in
Crosstabs, significance testing, and weighting run against live data. Export a clean SPSS (.sav) file when a stakeholder wants the raw set.
Fraud and attention checks
AI-inserted traps and duplicate detection flag low-quality respondents before they reach your tables.
A typical workflow
- 01
Draft the questionnaire — or import an existing one — and add logic, quotas, and randomization.
- 02
Order sample through a connected panel or bring your own list.
- 03
Field the study while fraud checks and quotas run automatically.
- 04
Crosstab, test for significance, and export SPSS or a shareable report.
Frequently asked questions
Can I run conjoint and MaxDiff studies?
Yes. Both are built in and available on the Research Team plan, alongside advanced crosstabs. You design the attributes and levels; Surveti generates the tasks and handles the analysis.
Which panel providers can I buy sample from?
Surveti connects to Cint and Prolific. You can also field to your own list or an unmanaged link. Quotas and disposition redirects are handled so completes reconcile with the provider.
Does it export to SPSS?
Professional and above export a labeled SPSS (.sav) file with value and variable labels intact, plus CSV and XLSX for everything else.
How do you handle data quality?
The AI engine can insert fraud traps and attention checks, and duplicate/inattentive respondents are flagged before they hit your tables. You decide whether to accept or reject each flag.