Content Mapping

Case-Study Consolidation Into the Right Service Hubs

A typed mapping that assigns each case study to exactly one service hub with no duplicates, so case studies render under the service they prove — enforced by a test, not by manual sorting.

HMX Zone
Typed selectors

Verified HMX-owned case

Outcome signals

These are the real outcome statements attached to this HMX case study.

One home
each study maps to a single service
No dupes
test blocks the same study appearing twice
Relevant
service pages show proof that matches
Covered
every study is accounted for in CI

Case architecture

Case-Study Consolidation Into the Architecture

6 nodes
a record mapping every
Expose a selector that
TypeScript SSOT mapping
Typed selectors
Fallback Path
One home each study maps to
  1. 01a record mapping every

    A typed mapping that assigns each case study to exactly one service hub with no duplicates, so case studies render under the service they prove — e...

  2. 02Expose a selector that

    Expose a selector that returns the studies for a given service

  3. 03TypeScript SSOT mapping

    TypeScript SSOT mapping (lib/service-data.ts) supports the route, form, or data boundary for Case-Study Consolidation Into the so public UX and backend state stay connected.

  4. 04Typed selectors

    Render each hub's case-study list from that selector, removing filler generators

  5. 05Fallback Path

    When automation confidence is low, route the record to a manual owner with the source, stage, and last action attached.

  6. 06One home each study maps to

    One home each study maps to a single service; No dupes test blocks the same study appearing twice; Relevant service pages show proof that matches;...

Problem

The operating gap

Case studies sit in a flat pile disconnected from the services they demonstrate. The same study gets copy-pasted under multiple services, counts drift, and visitors on a service page see generic filler instead of relevant proof.

Build

What gets built

Build a single source-of-truth map from each case-study id to one primary service, then power every service hub's case-study list from that selector. A mapping test enforces one-service-each with no duplicates and full coverage, so the relationship stays correct as studies are added.

Build steps

Case-Study Consolidation Into the Right Service Hubs uses a web app route, data, and conversion layer for Full-Stack Websites. A typed mapping that assigns each case study to exactly one service hub with no duplicates, so case studies render under the service they prove — e... The architecture connects a record mapping every, typescript ssot mapping, typed selectors, and one home each study maps to with an explicit control path.

  1. 01Define a record mapping every case-study id to exactly one service slug
  2. 02Expose a selector that returns the studies for a given service
  3. 03Render each hub's case-study list from that selector, removing filler generators
  4. 04Write a test asserting one-service-each, no duplicates, and total coverage
  5. 05Strip duplicated copy so each study lives in one canonical place
  6. 06Wire the mapping test into the verify gate to lock the relationship

Stack

Tools and layers

  • TypeScript SSOT mapping (lib/service-data.ts)
  • Typed selectors
  • Next.js dynamic service routes
  • Jest-style mapping test (tsx)
  • Vercel
  • Experience layer: Define a record mapping every case-study id to exactly one service slug
  • Server layer: Expose a selector that returns the studies for a given service
  • Database layer: TypeScript SSOT mapping (lib/service-data.ts) supports the route, form, or data boundary for Case-Study Consolidation Into the so public UX and backend state stay connected.
  • Automation layer: Typed selectors handles routine steps while build a single source-of-truth map from each case-study id to one primary service, then power every service hub's case-study list from that selector.
  • Measurement layer: One home each study maps to a single service; No dupes test blocks the same study appearing twice; Relevant service pages show proof that matches;...

Data flow

  1. 01Define a record mapping every case-study id to exactly one service slug
  2. 02Expose a selector that returns the studies for a given service
  3. 03Render each hub's case-study list from that selector, removing filler generators
  4. 04Write a test asserting one-service-each, no duplicates, and total coverage
  5. 05Strip duplicated copy so each study lives in one canonical place
  6. 06Wire the mapping test into the verify gate to lock the relationship

Controls

  • Case studies sit in a flat pile disconnected from the services they demonstrate.
  • Build a single source-of-truth map from each case-study id to one primary service, then power every service hub's case-study list from that selector.
  • When automation confidence is low, route the record to a manual owner with the source, stage, and last action attached.

Research basis

A route assembles through form, data, metadata, and deploy checks.

The same website operating path

Full-stack websites for service businesses and operators: route architecture, service pages, lead capture, metadata, proof boundaries, blog/database paths, analytics, and deployment checks.

Route map

Service architecture

Clear service routes

01active
Progress72%

Lead capture

Form and context flow

Lead capture that saves context

02active
Progress86%

Public metadata

SEO and schema layer

SEO and schema on public pages

03active
Progress64%

Launch QA

Analytics and deployment checks

Analytics events tied to CTAs

04active
Progress91%

Build a website with the same traceability.

All systems operational
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