Directoryz

Check data coverage before exposing a filter

A filter can silently exclude good listings when the underlying field is mostly missing. Coverage matters as much as the filter design.

Directoryz editorial guide · Updated September 7, 2026

Put it into practice

Measure how many records have a reliable value and decide how unknown values appear. Improve the data before promoting the filter.

Worked example · illustrative

What this looks like

A price filter is misleading if most providers have no public pricing and disappear from every selected range.

Before you move on

Can visitors see that unknown values exist rather than interpreting them as non-matches?

Write down the evidence for your answer. If you cannot point to a concrete example, revise the work before treating it as ready.

A repeatable workflow

  1. Start with a real visitor question.
  2. Test labels against representative listings.
  3. Keep category changes understandable for editors and visitors.

Your working notes

Apply this guide to one real project. Notes stay in this page until you download them; they are not saved to your account.

Where Directoryz fits

Directoryz supports directory publishing, listings and custom fields, CSV imports, submission review, and workspace operations. These guides include editorial workflows you can carry out with a worksheet or your own tools. They do not imply that every audit, reminder, verification, or integration is automated by Directoryz.

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