discover

To validate feature ideas before backlog creation, you can use structured JTBD discovery and assumption mapping to identify risks. This process generates a discovery file detailing user jobs, prioritized assumptions, and an experiment backlog to test viability.

JTBD discovery is a product management framework analyzing what users are trying to accomplish rather than their demographics. It works for software feature ideation by generating a canvas that maps user jobs, assumptions, and experiments to validate early concepts.

To map and prioritize assumptions during product discovery, you generate an assumption map of five items within a discovery file. This identifies the riskiest assumptions surrounding a feature idea so you can design targeted experiments to validate them.

Yes, you can generate an experiment backlog directly from early feature concepts by running a structured discovery process. This combines JTBD analysis and assumption mapping to output a discovery file containing a ready-to-use experiment backlog for your team.

No external frameworks or dependencies are required to run this discovery process. It operates independently to generate a timestamped discovery.md file within a designated directory containing the JTBD canvas, assumption map, and experiment backlog.