How Plastic's synthetic user research works
Plastic runs synthetic focus groups. You build AI personas that know what real people in their position would know, and nothing more. They react to your materials, answer your questions, and produce a structured report with charts, quotes, and recommendations.
Most teams use it to get early signal before a live study, stress-test materials before they ship, or check assumptions when scheduling real participants isn't practical.
How it works, step by step
1. Build personas with real depth
Each persona has a full profile: who they are, how they think, what they do for work, what frustrates them, and what they know and don't know. A logistics manager won't give you marketing advice. A first-time founder won't talk about enterprise procurement. These boundaries keep responses grounded in what each persona would realistically say.
You can create a persona in two ways. If you want full control, write a Custom Persona from scratch. If you want a faster starting point, use Plastic Wizard: give it a short description of the kind of person you need, and it builds a reusable persona in about five minutes that is shared with the community, scores its realism from 0 to 10, and asks follow-up questions until the profile feels solid.
2. Upload what you want to test
Bring whatever you'd bring to a real focus group: landing pages, pricing tables, onboarding screenshots, pitch decks, ad mockups, tweets, survey drafts. You can upload images, text documents, or PDFs (automatically converted to images). Personas see and react to the same things your audience would.
3. Ask your research questions
Write what you'd ask in a live session: "What's your first impression?", "Would you pay for this?", "What's confusing?" Each persona answers on their own, in character, based on their background and how they're feeling that day.
That last part matters. Plastic picks from 17 mood states for each response. One persona might be relaxed and chatty, another stressed and short. If someone would be impatient with your question on a bad day, you'll see that too.
4. Read the report
Every session runs two analyses at once: one for numbers, one for meaning.
You get a summary with up to five ranked findings, three concrete next steps, and the top three direct quotes with context. Each question gets its own breakdown. Scale questions ("How likely would you…") get automatic score distributions. Category questions ("What features matter most?") get grouped charts. Open-ended questions get theme summaries.
The report also flags fit. If a persona isn't your target buyer, the analysis calls that out so you can weigh their responses accordingly.
5. Clone, change, rerun
Changed the headline? Reworked the pricing? Clone the session, swap the materials, and rerun. The original stays frozen so you can compare results side by side.
What you can test
- Positioning and messaging. Does your value prop land with your ideal buyer, or do they shrug while a different segment lights up?
- Landing pages and copy. Upload the screenshot, ask five personas for first impressions, see which version wins.
- Pricing and packaging. Is your pricing clear? Does the free tier feel generous or cheap? Personas with different budgets give you different answers.
- Onboarding flows. Walk personas through your first-run screens. Find the step where a non-technical user says "I have no idea what this means."
- Feature concepts. Before you build it, describe it. Ask: would you use this? How often? What would you pay?
- Pitch decks. Build a panel of synthetic investors and run your deck past them. Find out which slides lose attention and where the hard questions come.
- Tweets and social posts. Test a draft post against the audience you actually want to reach. See if the reaction matches your intent before you publish.
- Survey and interview questions. Run your draft questions on synthetic participants first. If a persona misreads the question, real ones will too.
- Ad creative. Test angles across segments. Does the urgency hook work on enterprise buyers, or only on indie hackers?
- Competitive positioning. Ask personas who use a competitor how they'd evaluate your alternative. They respond based on what they'd realistically know about both products.
- Internal memos and announcements. Run a reorg announcement past synthetic employees before sending it. See where people get confused or anxious.
Best for
- Product managers who need user signal before committing engineering time
- Founders moving too fast for a two-week research cycle
- Marketers testing messaging across audience segments in the same afternoon
- UX researchers pressure-testing study designs before spending the live budget
- Agencies delivering consumer insight on tight timelines without fielding a panel
- Anyone preparing a high-stakes piece of communication and wanting a gut check first
Not ideal for
- Usability testing with interactive prototypes and click tracking
- Research that needs participants' real purchase history or account data
- Regulated contexts that require human-subjects review board approval
- Replacing qualitative research entirely. Plastic is a fast directional tool, and works best alongside real studies