Enterprise Search Implementation. @enterprise-search

Search is where users tell you exactly what they want — and where most sites and portals fail them with stale indexes, keyword-only matching, and results users are not even allowed to open. The Enterprise Search Implementation sprint builds search as a system: a pipeline keeping the index current as content changes, relevance tuned against real queries, facets that match how users narrow down, and permission trimming so results respect access rules before display.

The finish state is measured search quality in production: top queries returning the right results, zero-result rate tracked and falling, and a search analytics view that turns every failed query into either a tuning fix or a content gap — with your team able to continue tuning after handover.

Indexing Pipeline

Connectors from your content sources — CMS, databases, files, or applications — with incremental updates, so the index tracks reality instead of last month.

Relevance & Ranking Tuning

Analyzer and ranking configuration for your domain language — synonyms, typo tolerance, boosts by recency or popularity — validated against a golden set of real queries.

Filters & Faceted Navigation

Facets and filters from your content structure, designed with usage data where it exists, so narrowing feels like the product's own vocabulary.

Permissions & Search Analytics

Document-level permission trimming for gated content, plus query, click-through, and zero-result analytics feeding the ongoing tuning loop.

1. Scope — Map sources, permission rules, and current search pain; fix the engine choice and the golden query set.
2. Build — Build indexing, tuning, and UI integration; iterate relevance against the golden set until it clears the bar.
3. Handover — Production launch, tuning-loop documentation, and the analytics baseline for your team to work from.

The Enterprise Search Implementation is a menu item on the Scrums.com delivery catalog, available at every plan tier. Add it to your plan backlog and your delivery team schedules it like any other item — scoped, tracked, and reported through the SEOP. See Delivery Plan Tiers.

Which search engine does the sprint use?

Your constraint set decides — hosted services like Algolia or Typesense for speed to value, Elasticsearch or OpenSearch for control and data residency. The scoping pass makes the trade-offs explicit before committing.

Is AI or semantic search included?

The sprint delivers excellent keyword search with the analytics to justify what comes next. Vector and hybrid semantic search is a natural follow-on once query data exists — and conversational answers over your content are the Enterprise Knowledge Chatbot.

How do permissions stay correct in results?

Access rules are indexed with the documents and enforced at query time, so users never see titles or snippets of content they cannot open. The permission model is part of scoping, not an afterthought.