analyze

A screenshot-backed feature analysis document maps user flows, page inventories, and interactive controls using captured product artifacts as evidence. It structures screen-by-screen behavior notes so teams can understand UI functionality without accessing source code.

You can map interactive button behaviors and reaction states from UI screenshots by identifying meaningful buttons, tabs, modals, exports, and wizard steps within the artifact. The analysis documents how these controls function across the captured user journey.

The best way to document a user flow from a partially framed product is to apply evidence-aware writing and taxonomy-aware control grouping. This approach notes screenshot gaps and assumptions while producing structured use cases and screen-by-screen notes.

No, this approach does not require access to the underlying product source code. The analysis is constrained to approved markdown files generated strictly from captured screenshots and framing, ensuring source code remains unmodified.

To compare PoC fidelity against a baseline using captured screen evidence, you check current behavior against supplied artifacts. The tool produces structured fidelity comparisons that highlight discrepancies between the proof of concept and the baseline.

When there are screenshot gaps during page inventory generation, the analysis explicitly notes missing evidence and assumptions. It uses evidence-aware writing to ensure documentation remains accurate to the available captured artifacts without fabricating missing screens.