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.
We heard you:
You want more control over your studies.
More flexibility in how you craft the parameters that will drive the research.
More precision in outputs with full control over the table of contents of your reports.
Agents build their own trajectories. It's like having a true research assistant. Using agents solved for the problems above.
It means you work side by side with agents in an ongoing conversation: you tell them what to do, and they proactively suggest next steps and the best way forward.
1. Iris is a new type of project, not a new type of interview. Create a project (1) and simply choose Iris.
Why is it a new type of project and not simply another interview type? Because it's an ongoing conversation with the agents that help with research. A new way of running research.
2 . Specify who and what you want to research.
3 . The interface is conversational. The agents will be your 'partners' in this process.
You can change the way your agents will operate within Iris by clicking on the settings of the chat panel.
And changing the tools they access.
4 . You will be driving towards creating a study with full control over the parameters that will govern that study.
5 . A study consists of interviews. Each interview is one credit. Another way of thinking about it is a study is made up of Synthetic Users. Each time you generate one Synthetic Users you spend one credit.
6 . Your interviews will run inside the study. Once they are done you are able to open the study (see below red circle with 1).
Note that the agent will be pro-active in asking you what next by suggesting pragmatic next steps (2) and you always have quick links to create reports or summaries.
7 . If you ask for a report to be generated you will be able to control its table of contents.
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