Synthetic perspectives
A planned simulation aid for rehearsing hypotheses and finding missing questions—not a substitute for evidence from real people.
How the research interaction works
Interviewer or facilitator
No person is interviewed; a model generates simulated perspectives from disclosed prompts and assumptions
Respondent or source
No human respondent is present. The output is synthetic model content, not a customer, buyer, employee, patient, or expert response
A production synthetic-perspectives workflow is not available. Any future output must remain visually and structurally separated from collected human evidence.
What works now
- Use ordinary drafting assistance to brainstorm questions in private beta
- Run real structured surveys for actual respondent evidence
- Label existing demo and sample content clearly
What this option does not include
- Synthetic respondent studies
- Synthetic sample-size or confidence claims
- Combining simulated and human response bases
- Presenting model output as customer or expert proof
Good fit
- • Future hypothesis rehearsal
- • Finding gaps in a guide before fielding
- • Testing analysis and reporting pipelines with labeled sample data
Bad fit
- • Estimating demand, prevalence, willingness to pay, or customer sentiment
- • Validating product-market fit
- • Replacing expert, customer, employee, or patient research
How your team stays in control
Your team retains responsibility for research quality, privacy, and the final decision.
- Permanent synthetic provenance label
- No human sample size, confidence interval, or representativeness language
- Separate storage and reporting bases from human evidence
- Human review and real-research validation before decisions
How the workflow works
Step 1
Approve the protocol
Define allowed topics, bounded probes, stop conditions, escalation rules, disclosure, and consent.
Step 2
Evaluate before release
Test safety, guide adherence, bias, failure handling, provenance, and synthesis quality against human review.
Step 3
Run with disclosure
Respondents must know when an agent is interacting with them and how their data will be processed.
Step 4
Require human approval
No agent-generated synthesis becomes a finding, report, or decision without source-aware human review.
What your team receives
Related research paths
Use real survey evidence
Tell us what decision you need to support, and we will help you choose the most appropriate available research path.