Part 9 of 9 · Use-case explorer

Find a small feature worth trying

Start with a behaviour your users need. Explore sixteen feature sketches, find the judgment inside each one, and choose a small experiment you can evaluate.

Design sketches, each with the closest official cookbook linked.

Lab

Explorer

Pick a goal, a surface, or both. Cards show the primitives as pills, link to the pattern that composes them, and name the closest official cookbook.
Goal
Surface
Question sketches are abbreviated: real criteria carry a description per option or level, an escape option, and the field paths the instruction points at. Part 5 covers how to write them.

From the behaviour you want to the judgments you need

Write down the change a user should see: a better ordered list, a relevant label, a filled field, or a case sent to someone who can help. Then work backward to the evidence and judgment it requires.

  1. Show. Ranking, sorting, highlighting. You need a comparable number per item: a Noul per item against the same question, or a Score on a shared rubric. Code sorts. Pattern: composite scoring when several dimensions matter.
  2. Select. Routing, dispatching, picking one of many. You need a winner from a closed set: a Choice with an escape option, plus branch-specific questions asked in the same request. Pattern: speculative fan-out.
  3. Change. Extracting, normalising, filling fields. You need the model to pick which existing span or allowed value applies, never to produce a value. Code finds candidates; a Choice selects. Pattern: select, not generate.
  4. Hand off. Verifying, escalating, gating. You need a probability that something is wrong, per checkable unit, and a threshold per consequence. Nouls, aggregated in code, feeding a review band. Pattern: confidence-gated cascade.

Before sending a request, check whether a rule or lookup already answers it. For the judgments that remain, choose an observable success criterion: fewer wrong routes, fewer missed cases, or less review time.

Where to go next

Pick one feature and a handful of representative examples. Compare the proposed result with what a person would expect, then expand the evaluation before connecting it to real actions. The request builder is a place to draft the first version.