bokata-feature-mapper

To extract features and user tasks from a PRD or product brief, the tool identifies Features in Actor-Verb-Object format and User Tasks in Verb-Object format to produce a structured Features Backbone.

User story mapping for feature discovery is a method that identifies features and user tasks from initiative descriptions to produce a Features Backbone and surface clarifying discovery questions.

Yes, you can use transcripts as input to generate a features backbone. The tool processes PRDs, product briefs, or transcripts to emit a Markdown backbone with features, tasks, and system tasks.

Yes, the feature mapping process includes integrated discovery. It surfaces gaps and decisions from your initiative description before generating the final features Markdown backbone.

The best way to structure a features backbone is to define Features as Actor-Verb-Object and User Tasks as Verb-Object, outputting a Markdown document with system tasks and clarifications.