An evolution of the search experience running on padi.com today, with enhancements to how results are presented.
The current locator, improved through the user experience rather than rebuilt as a new service.
Both were planned within the existing platform, which shaped the effort and the timeline we committed to.
We think this is the right destination, and it is a healthy outcome of working through discovery together. It does change the shape of the build: each of these is a build in its own right, rather than configuration of what exists today.
Search and the locator are at different stages, so we have looked at each separately.
A search results page, autocompletion, and faceted refinement — an improvement on the experience today.
Natural language understanding and context-aware ranking come later, with the dedicated search service.
It meets what padi.com needs at launch, with no new platform or integration risk in the critical window.
| Algolia | Amazon OpenSearch | |
|---|---|---|
| Investment | Meaningful additional spend at PADI's scale | Materially lower running cost |
| November | Timeline pressure remains, whichever platform sits underneath | Locator ships, and the foundation goes live with it |
| Path forward | Capability arrives as one larger release | Capability added step by step, without replatforming |
| Operating model | Managed by the vendor | Indexing, tuning and operations sit with the team |
In return, November lands as committed, and the platform investment carries into February.
Expand onto Algolia, or move search to it entirely. Indicative investment of USD 75k–150k.
Throwaway work: the OpenSearch index configuration, ingestion and query layer are rebuilt on Algolia rather than migrated. The data structures and content tagging behind them carry over.
Build the fuller capability on the November search service. More engineering effort, but February gives us the room.
Throwaway work: none. Every part of the November build is extended rather than replaced.
In the February scope: search across PADI's properties, natural language understanding, context-aware ranking, per-language relevance reporting, and sponsored results. We are not asking for the platform decision now — February gives both paths a fair hearing, informed by real query data.