I decide to propose small, testable improvements before investing in complex solutions.
I decided to adopt JTBD to understand the underlying user need.
I separate research findings from assumptions and validate them with users.
I define success metrics alongside guardrails to balance business outcomes with user experience.
Baseline results showed a 12 % search‑to‑order conversion, 6 seconds average time to first relevant result, and a 3.1⁄5 relevance rating.
The mood‑based quick filter pilot (5 % traffic) raised conversion to 15 %, cut time to first relevant result to 4 seconds, and improved relevance rating to 3.8⁄5, with latency staying ≤ 2 seconds.
I explored how Zomato’s “Think it, Search it” experience illustrates a shift from keyword‑based search to intent‑driven food discovery, where users start with a mood or occasion rather than a concrete dish.
Users don't always have a specific dish or restaurant in mind.
That's a shift from keyword-based search → intent-based discovery.
- Intent‑match CTR (click‑through on intent‑labeled items)
- Conversion Rate (orders/reservations after intent‑matched clicks)
- Time‑to‑Decision (time from carousel exposure to final pick)
- NPS for Intent Flows