Survey draft generator
Describe an objective, audience, length, tone, and methodology to create an editable question set.
Explore capability
SierraTec AI Survey Studio
Build, review, and understand surveys faster
Use AI to accelerate survey design and analysis—with editable output, privacy controls, human review, and clear disclosure built into every workflow.
Human-led, AI-assisted
AI across the entire feedback lifecycle
Use assistance where it saves time, preserve editorial control where judgment matters, and label automated analysis clearly.
Question quality review
Identify leading language, double-barreled questions, ambiguity, answer gaps, reading level, and excessive length.
Explore capabilityLogic recommendations
Suggest follow-up questions, branching, disqualification, quotas, scoring, and personalized endings.
Explore capabilityMultilingual assistance
Translate survey content across English, French, German, Dutch, Spanish, Simplified Chinese, and Arabic with side-by-side human review.
Explore capabilityOpen-text theme analysis
Group comments into themes, summarize supporting evidence, surface patterns, and compare segments.
Explore capabilityExecutive summaries
Generate editable summaries, priority actions, risks, and recommended follow-up questions for stakeholders.
Explore capability
Interactive prototype
Generate a survey draft
This offline demo uses structured templates to demonstrate the product interaction. A production implementation can connect to your approved AI provider and governance controls.
AI Survey Studio
Describe your objective
Include the audience, decision, desired length, and any research constraints.
Do not include confidential, regulated, or personally identifiable information in prompts.
Editable output
Suggested question set
Structuring your survey...
Your generated questions will appear here.
AI analysis with evidence
Move from thousands of comments to reviewable themes
Each theme can link back to supporting responses, filters, segments, and confidence indicators so analysts can verify the interpretation.
- Theme clustering and representative response links
- Sentiment and emotion classification
- Segment, time-period, and collector comparisons
- PII detection and optional redaction before analysis
- Editable summaries and human approval status
Open-text analysis
2,145 responsesOnboarding clarity34%
Customers want clearer ownership, checklists, and first-week guidance.
Support responsiveness27%
Fast support is strongly associated with promoters and renewals.
Integration setup19%
Technical teams request clearer examples and implementation guidance.
Responsible deployment
AI controls designed for business and research teams
AI features should be implemented with provider review, contractual safeguards, access controls, logging, data minimization, and human oversight.
Data controls
Choose which workspaces and projects can use AI and whether response data is eligible for analysis.
PII safeguards
Detect and redact sensitive fields before external model processing where configured.
Human approval
Require review before publishing generated surveys or distributing AI-authored summaries.
Auditability
Log AI actions, prompts, output versions, editors, approval state, and model configuration.
Bring AI into your survey workflow responsibly
Start with the interactive prototype, then connect your approved AI service and organization-specific governance requirements.
Research Copilot
AI that helps design the study, not replace the respondent
Connect objectives to sampling assumptions, question quality, mode selection, translation review, quality checks, analysis, and methodology documentation. Human approval remains required for research decisions.
- Suggest sampling and recruitment assumptions
- Flag leading, loaded, double-barreled, and ambiguous wording
- Estimate respondent burden
- Review cultural and translation equivalence
- Summarize findings with limitations
- Draft methodology and executive reports
Human-reviewed AI
What conclusions does this data support?
Research Copilot separates observed evidence, uncertainty, weighting limitations, quality concerns, and suggested follow-up instead of presenting generated text as ground truth.
Open Research Studio