Workshop: Query Rules — Creating a Smarter Search with Algolia
When I was a Developer Advocate at Algolia, I did a lot of workshops. This one with my colleague Olivier Lance was different — genuinely hands-on. We weren’t just explaining how query rules work; we were building them, tweaking them, and improving search results in real time.
Query rules seem simple on the surface but get incredibly powerful once you know what you’re doing. The basic idea: “When a user searches for X, show them Y.” But it’s way more nuanced than that — conditions, different ranking strategies, hiding or promoting specific results based on search patterns.
What I loved about Algolia’s philosophy: search isn’t a feature — it’s fundamental to how users interact with your product. Get it right and people find what they need faster. Get it wrong and you frustrate them. Query rules sit right at that intersection of UX and business logic.
Olivier and I worked through real scenarios. How do you handle typos? What about when someone searches a brand name but you want to show related products too? How do you surface seasonal content at the right time? Not abstract questions — these are what product and engineering teams actually deal with day to day.
One thing that always surprised me: how many developers thought search was a solved problem. Slap in a search bar, call it done. But the gap between “good search” and “search that actually drives conversions and satisfaction” is massive. Query rules are one of the levers that close it.
Key Takeaways
- Search is a UX problem, not just a technical one. Query rules let you optimize for relevance and intent simultaneously.
- Small changes compound. Tweaking rankings, promotions, and pattern handling can significantly improve how users interact with your product.
- Test and iterate. The best query rules come from understanding actual user behavior and adjusting based on what you learn.