What's new? 4 new features
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.
New UI with a Research Assistant
The goal of the research assistant will help you define the audience and goal. When the interviews are finished your research assistant will help you synthesise and generate an insights report. Our new UI leverages the power of the research assistant by guiding you towards the best research plan. You can skip this but the conversation with the research assistant will ensure your research plan is set up for success.
New language support
We now have, beyond English, full support for German, French, Spanish, Portuguese (BR) and Japanese. It’s as easy as picking your language when you are creating your Synthetic Users.
RAG (users can upload their proprietary content)
You asked for it and we have responded. You can upload your proprietary content and ensure that your Synthetic Users have more context.
The big Shuffle
No we haven’t invented a new vintage iPod based dance. We’re simply leveraging more than one foundational model in our interviews and Surveys. For example: the interviewer as Claude and Synthetic User as GPT4, the Synthesising being done by Mistral… We use the best model for the task. A recent paper titled the Wisdom of the Silicon Crowd confirmed our approach. Diversity of models will work to the advantage of Synthetic Users.
Releated Articles
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Synthetic users, an intro
A quick video walkthrough introducing the Synthetic Users platform — covering key navigation and core features for new users getting started.
Introducing Iris
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.
Multi-study planner: plan and run multiple studies with different audiences
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.
Enrich your Synthetic Users with your data. RAG tutorial.
Learn how to enrich Synthetic Users with your own data using Retrieval-Augmented Generation (RAG) to make AI participants more context-aware and accurate.
Synthetic Users Leadership Webinar: Mapping the Synthetic Research Industry
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.
Help! How do I go beyond the average with Synthetic Users?
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.
Features: Knowledge Graph, Cloning Research, Exporting Annotations, Searching inside History...
A roundup of four new Synthetic Users features: Knowledge Graph for visualising interview themes, Research Cloning, Annotation Exporting, and searching inside your research history.
What's new? 4 new features
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.
Generating, Running and Sharing Synthetic Research. Really?
A step-by-step walkthrough of how to generate your Synthetic User panel, run interviews, and share your research — from setup to insights report
What to do when you feel your Synthetic Users are being too generalist
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.
Which interview type should I pick?
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.
Do annotations matter to researchers?
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.
The transition to Continuous Insight and where we excel
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.
Don’t fall into the: “It’s not real. It’s just programming.“ fallacy.
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.
Products creating products
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.
Synthetic Users: Merging Qualitative and Quantitative Research, in seconds.
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.