Synthetic panels vs. traditional research panels: what's the difference?
Traditional panels recruit real people for each study, delivering high-confidence data but taking weeks of fieldwork per question. A calibrated synthetic panel answers in about 90 seconds by drawing on a brand's existing research, making it ideal for fast, iterative, early-stage exploration, with high-stakes decisions still validated by human respondents.
When is a synthetic panel the right choice?
- Ideation and early concept screening
- Naming and message exploration
- Directional reads on a question
- Reaching segments that are hard or expensive to recruit
When do you still need humans?
- High-stakes go or no-go decisions
- Regulated or legal claims
- Deep, novel qualitative on a brand-new topic
Side by side: synthetic vs. traditional
| Traditional panel | Calibrated synthetic panel | |
|---|---|---|
| Time per question | ~6 weeks | ~90 seconds |
| Best for | high-stakes validation | fast iteration and exploration |
| Source | newly recruited humans | your own prior research |
The blended approach Pervasive Insights™ recommends
Use the synthetic panel to iterate quickly, then crown the winner with a human test. You explore a dozen directions before booking any fieldwork, narrow to the strongest few in a day, and spend your human-research budget only on validating the finalists. Each validated human test then feeds back into calibration, so the panel gets sharper over time.
Frequently asked questions
Are synthetic panels accurate enough to trust?
For early-stage and directional work, yes, when they are calibrated to real data. See our page on synthetic-respondent accuracy for the details.
Can I use both together?
Yes. The recommended approach is to iterate on the synthetic panel and validate the finalists with humans.
Won't a synthetic panel just make things up?
No. It is calibrated to real prior responses and follows a no-fabrication rule, returning blanks instead of guesses on topics it cannot yet support.
What questions should I not use a synthetic panel for?
Final high-stakes calls, regulated claims, or brand-new topics with no calibration data behind them.