The Catalog That's Too Complicated vs Too Simple Decision Tree

Why this matters

A catalog can fail in two opposite directions, and most shops only ever notice the one they're currently living with. Too complicated, and techs stop using the price book, quote off memory, and pricing drifts inconsistent from job to job. Too simple, and every job becomes a special case requiring a custom quote, which slows down the office and makes every estimate feel improvised. Both failure modes cost real money, one through inconsistency, the other through friction, and the fix for one is close to the opposite of the fix for the other. This tree helps you tell which problem you actually have before you start changing anything.

Start here: what's actually happening

Pick the symptom that matches your shop right now.

  • Techs are quoting off memory or making up prices on the spot instead of opening the price book - go to "Signs you're too complicated."
  • Almost every job needs a custom, one-off quote because nothing in the catalog quite fits - go to "Signs you're too simple."
  • Both are happening on different jobs - this is common and not a contradiction. Go to "When both are true at once."

Signs you're too complicated

Check for these in order:

  1. Category count. If your catalog has more top-level categories than a tech can name from memory, roughly seven to ten is the practical ceiling for most trades, techs will default to searching or asking rather than browsing, and searching under time pressure on a doorstep leads to picking whatever comes up first.
  2. Near-duplicate line items. Search your catalog for items whose names differ only slightly, usually created because someone added a "special case" version instead of using a modifier on the existing line. Each near-duplicate is a decision point a tech has to resolve, and decision points under time pressure get skipped in favor of the familiar item, even when it's the wrong one.
  3. Line items nobody has sold in the past year. These are dead weight that make the working parts of the catalog harder to find. If a tech has to scroll past twenty stale items to reach the ones they actually use, the working catalog is effectively smaller than it should be and slower to navigate. See related: Retiring a Dead Service Line From the Catalog.
  4. Pricing tiers with unclear differences. If Better and Best differ by a change so minor a tech can't explain it in one sentence, the tiers are adding complexity without adding decision value.

If two or more of these are true, the fix is a catalog audit: consolidate near-duplicates, retire dead lines, and cap category count. Don't add anything new until the audit is done, adding to a bloated catalog compounds the problem.

Signs you're too simple

Check for these in order:

  1. Custom-quote rate. If a large share of your jobs require a manual, off-catalog quote because nothing fits, your catalog isn't covering your actual job mix. Pull your last quarter of completed jobs and count how many matched a catalog line item versus how many were built from scratch.
  2. One-size pricing on jobs with real variation. A single flat price for a repair that in practice ranges from a quick fix to a major teardown means either the price is wrong most of the time or techs are quietly deviating from it, both of which erode trust in the price book.
  3. No tiering on your highest-volume services. If your top few line items by volume are single flat-priced options with no good-better-best structure, you're leaving upsell opportunity on the table on every one of those calls. See related: Structuring a Good, Better, Best Catalog.
  4. Missing standing add-ons. If techs are constantly negotiating extras verbally because there's no catalog entry to formalize them, you're too simple in the add-on layer even if the core catalog is fine. See related: Standing Add-On vs Separate Line Item Decision Tree.

If two or more of these are true, the fix is targeted expansion: add tiering to your highest-volume items first, formalize the extras techs already sell verbally, and build coverage for the job variations your custom-quote data actually shows, not hypothetical ones.

When both are true at once

This usually means the catalog grew in the wrong places. Common pattern: dozens of rarely-used line items cluttering the browse experience (too complicated) while the handful of services that actually drive volume have no tiering or add-on structure at all (too simple). The fix isn't a wash, it's sequenced: audit and trim first so you can see the catalog clearly, then expand only the high-volume items that need structure. Expanding before trimming just adds more items to an already-cluttered list.

Quick recap

  1. Identify which symptom (or both) matches your shop.
  2. Too complicated: consolidate duplicates, retire dead lines, cap categories, before adding anything new.
  3. Too simple: tier your top volume-drivers, formalize verbal add-ons, expand coverage based on actual custom-quote data.
  4. Both: trim first, then expand, never simultaneously on the same pass.

References

  • See related: Categorizing Services So People Can Actually Find Them
  • See related: Retiring a Dead Service Line From the Catalog
  • See related: Structuring a Good, Better, Best Catalog