Aglet

Verify facet counts against filtered result expectations

Verification should show that counts guide decisions without claiming to represent a different universe. Exercise a reconciled query, a selected filter, and an edge case with variants or stale data. Confirm the visible list, count label, and reset behavior tell the same story.

Check whether the outcome improved

  1. Check the broad query

    Run a query with several known values and compare bucket counts with the defined universe. Select one value and confirm the result total and visible rows change as expected. Record the filter state so the comparison is repeatable.

  2. Check edge cases

    Use a parent product with variants, a paginated result, and a refreshed or intentionally delayed index. Confirm the count either follows the documented rule or explains its scope. A count that changes after pagination should not silently redefine the facet.

  3. Review user-facing copy

    Inspect labels, selected counts, zero values, reset controls, and narrow layout. Ensure the closure record says what was tested and which aggregation cases were omitted. Keep any unresolved stale-data branch open with a named observation.

What to carry forward

Verification passes when bucket counts, result totals, and scope copy agree for representative selections and known edge cases. If a count is conditional on freshness or grouping, document that condition. A partial pass is preferable to a global claim the evidence cannot support.

Technical background: Adobe developer documentation.

Keep the decision with the work.

Use a Work Item in Aglet to record the problem, the evidence you have, and the next decision. Add an owner and priority, then keep updates in the discussion so the next person can follow the reasoning.

Create an account See the product workflow