Video

Nicole Junkermann on Finding Common Themes in Feedback


When many people share their views at once, the volume can bury what matters. Nicole Junkermann describes how AI can draw out the common themes, and why reading the full comments as well makes sure each voice still counts.

Transcript


A group can share lots of views at once. AI can help find common themes. Read the full comments, too. So each voice still counts.

Three key points


  • Large groups produce more feedback than anyone can read at once.
  • AI can sort comments into common themes quickly.
  • Reading the full comments keeps individual voices in view.

Summaries that still listen


Technology teams gather more feedback than ever: survey answers, support messages, comments from testers and notes from workshops. Summarising it by hand is slow, and the temptation is to skim. Nicole Junkermann sees AI as a good way to sort that volume into themes, so the larger patterns appear in minutes rather than days. The risk is that a neat summary flattens the unusual comment, the one that points to a problem nobody else has noticed yet. That is why the summary works best alongside the source: use the themes to see the shape, then read the full comments to find the detail. It is a small habit, and it keeps a product honest about the people it serves.

More videos


Find all six clips, the tech notes and the reading list on the Nicole Junkermann homepage.

All six videos → Browse the tech notes →