How to use the Interview Affinity Mapper.
Affinity grouping should preserve original observations and allow disagreement. Do not collapse distinct causes simply because people use the same word.
Make the workflow fit your task.
Keep observations and participant references attached while grouping excerpts by meaning. Separate similar words that describe different experiences. Name themes after inspecting the evidence and retain outliers or contradictory observations instead of forcing every item into a group.
- What you provide
- Anonymized observations.
- What you get
- Evidence-linked clusters with representative excerpts.
See the input and the result.
Illustrative input and output · a teaching example, not a live WebAct run
Example input
Two users say slow: one means loading time, another means approval delays.
Completed example
Keep performance and approval-process observations separate, with the original excerpts attached.
Load this input into the prompt, then copy it to WebAct to try the task. Your result may differ from the illustration.
Decisions and troubleshooting.
Should two comments using slow automatically belong in one theme?
No. One may concern page loading and another an organizational delay. Group by the experience described.
Why does a theme feel persuasive but lack supporting excerpts?
Its label may be an interpretation introduced during grouping. Reconnect it to evidence or mark it as a hypothesis.
Try it with your own source.
Replace the example with your material in the task prompt. Keep the requirements you need, then copy the task into WebAct.
Customize and copy the task ↑