Search and discovery
Search is where content, products, and user intent meet. When it’s designed and implemented well, it becomes one of the most valuable signals in a digital platform.
We design and deliver search and discovery capabilities that help users find what they need, and help teams understand how their platforms are being used.
Why teams involve us in search and discovery
Key benefits:
- Content and data pipelines built for search — Designing the pipelines, transformations, and indexing strategies needed to move content and data into search in a way that supports discovery.
- Experience across enterprise search platforms — Hands-on delivery across Sitecore Search, Coveo, and Algolia, with a clear understanding of where each platform fits and the trade-offs involved.
- Search that works for users and teams — Discovery experiences that meet user expectations while remaining understandable and manageable for content and product teams.
- Grounded in optimisation and insight — Using search behaviour as a source of insight to inform content strategy, navigation, personalisation, and ongoing optimisation.
Search reveals intent
Search is one of the clearest expressions of user intent. It shows what people are trying to find, the language they use, and where content or products fall short.
In complex platforms, search often spans multiple content types, data sources, and systems, making design and implementation decisions especially important.
Our role is to help teams treat search as a core capability, designing it in a way that supports both discovery and learning over time.
Why Think Fresh Digital?
Search that supports informed decisions
We bring experienced judgement to the point where search design, data strategy, and platform architecture intersect, helping teams distil complexity so better decisions can be made.
- Search designed around real user behaviour and intent
- Clear indexing and data strategies that scale with content and complexity
- A strong understanding of proven search UX patterns from enterprise delivery
- Experience aligning search capabilities with wider platform decisions
Our goal is to build search and discovery capabilities that teams can understand, evolve, and optimise over time.
A considered approach to search delivery
Search and discovery work varies by context, but typically follows a structured, iterative approach that balances learning with delivery.
Understand the data and intent
Analyse content, data sources, and user behaviour to understand what search means in the context of your organisation.
Design discovery
Design result structures, facets, ranking approaches, and discovery journeys that support how users explore and refine.
Select and implement
Evaluate search platforms where needed, then implement and validate relevance, performance, and usability.
Enable and improve
Enable teams to use analytics and machine learning features to improve relevance, tune results, and get the most from the chosen platform over time.
Search beyond traditional paradigms
Search is moving beyond keywords and result lists. Semantic understanding, vector-based retrieval, and conversational interfaces are changing how information is discovered.
We help organisations navigate this shift, moving from traditional search into more advanced discovery models that support both human users and AI-driven consumers of content.
- Applying semantic search and vector databases to improve relevance
- Designing retrieval-augmented generation (RAG) pipelines for discovery
- Supporting conversational and chat-based search experiences
- Preparing content and platforms to be discoverable by AI systems as well as people
The goal is making information easier to find, use, and apply, whatever form discovery takes next.
Great search isn't won by features alone.
It comes from matching the right capabilities to clear intent, well-structured information, and real patterns of behaviour.