an ai world shift from brainstorming to question-storming
the challenge is to get into your user’s mind and to make sure you’re delivering relevant and helpful information. What do they need to learn from the data? What do they want to do with the insights?
One productive approach is
something we call “question-storming.” it’s the process of identifying the questions users need the data to answer so they know what actions to take.
If you know the questions, then you can begin thailand phone number list envisioning how the answers should appear. Switching from brainstorming metrics to brainstorming questions allows you to understand potential solutions through users’ perspectives.
How does question-storming work?
Choose a persona: choose a target persona or identify an individual within a particular user group.
Ask questions: then collaboratively it puts companies go through a series of questions around the data. You can do this activity informally with sticky notes or on a whiteboard.
Affinity map: after the questions are written and agreed upon, group similar ones under themes and rank them under those themes.
Here’s an example of what question-storming usb directory with sticky notes looks like. This view allows you to envision what actions the user will take with the right data.