Tutorials | Synthetic Users

See how people group your content and what they would call each group: card sorting, now with synthetic users.
See whether people can find what they need in any structure, from a website menu to an app or a help centre, and where they get lost and why: tree testing, now with synthetic users.
One Iris on every screen of your project, one conversation that goes wherever you go, and help at every step of your research.
Test documents as concepts, choose the moment each concept is shown, ask participants to look again, and show the concepts in a different order to different people.
Scripted studies now run up to 300 synthetic users. How to set one up, what changes while it runs, and how to read the numbers at the end.
Describe who you're looking for, watch the audience take shape, and trust the number at the top of the screen.
The more specific your subject, the more a model falls back on the average. Retrieval (RAG) fixes that and the cool thing is it now no longer needs your files.
Iris has always been the research agent in your project. Now it's in every study too — a copilot scoped to exactly one study, that helps you set it up, and then helps you make sense of what it found.
The Usage tab in workspace settings accounts for every billable interview, grouped by project, by person, or by study, over whatever date range you ask for, and exportable as CSV.
Discover how to effectively test video ads second by second with synthetic users, gaining valuable insights through real-time reactions and interviews.
Learn how to allocate a fixed number of interviews per project in Synthetic Users by adjusting settings as an admin.
Quickly grasp interview insights with the Summary tab, featuring sentiment analysis, key quotes, and pain points for immediate value before custom reporting.
Drive Synthetic Users straight from Claude Desktop over the Model Context Protocol. Generate a workspace key, drop it into Claude's config, and run interviews, read reports, and explore insights without leaving your chat. This takes about five minutes to set up.
Learn how to run UX testing with synthetic users, from setting up tasks and target URLs to generating participants and launching sessions. Watch your synthetic users work through tasks, replay their sessions, and ask follow-up questions to understand their thinking.
You now have more control over your Synthetic Users' parameters. You can also save and reuse audiences in a more granular way as well as have visibility over population sizes.
You can create custom reports using an outline. Rearrange your sections accordingly. You have full control.
A quick video walkthrough introducing the Synthetic Users platform, covering key navigation and core features for new users getting started.
Introducing Iris, Synthetic Users' research agent. A tutorial on how to work alongside Iris to define study parameters, run interviews, and get precisely structured insight reports.
PRISMA is Synthetic Users' multi-study planner — a single interface to design, manage, and run multiple studies with different audiences simultaneously, without juggling separate projects.
Learn how to enrich Synthetic Users with your own data using Retrieval-Augmented Generation (RAG) — making your AI participants more context-aware and more accurate.
Recap of the Synthetic Users Leadership Webinar featuring Wikipedia founder Jimmy Wales — covering the state of AI, synthetic research risks, differentiators, and the road ahead.
How to move past generic insights with Synthetic Users by changing your research mindset, framing better goals, and probing deeper — just like you would with organic participants.
A roundup of four new Synthetic Users features: Knowledge Graph for visualising interview themes, Research Cloning, Annotation Exporting, and searching inside your research history.
Why annotations are essential to research — from medieval monks marking manuscripts to modern researchers highlighting insights. How Synthetic Users brings annotation into AI-powered research.
A look at four new Synthetic Users features: a Research Assistant UI, expanded language support, and more — designed to help teams run better research faster.
A look at four new Synthetic Users features: a Research Assistant UI, expanded language support, and more — designed to help teams run better research faster.
A guide to Synthetic Users' three interview types — dynamic script, custom script, and concept testing — and how to choose the right one based on your research goal.
Three practical steps to get more specific, nuanced insights from Synthetic Users — including how to probe deeper, ask better questions, and when to complement with organic research.
A reflection on how AI is transforming product development — and how Synthetic Users fits into a future where products help create better products through real-time synthetic feedback loops.
A collection of press coverage for Synthetic Users, including a mention in The Atlantic on AI and the future of polling and public opinion research.
A step-by-step walkthrough of how to generate your Synthetic User panel, run interviews, and share your research — from setup to insights report
Why dismissing AI-generated feedback as "just programming" is a mistake. The value of synthetic research lies in the insights it generates — not in the origin of the participant.
How Synthetic Users blurs the line between qualitative and quantitative research — enabling teams to get the depth of qual at the scale and speed of quant, in seconds.
A summer update from the Synthetic Users team — highlights, product progress, and what the team learned from users over the season.
The world’s #1 synthetic research platform. Qualitative depth at quantitative scale.
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