Conversational Navigation
Product strategy · Interaction design · 2025A conversational navigation pattern for a complex B2B e-commerce platform, moving users from intention to destination without needing to understand the platform's structure first.
Context
The platform served a B2B e-commerce environment where different user roles coexisted (buyers, operations, logistics, account owners), and all of them landed on the same homepage. Traditional navigation worked for browsing, but failed users who arrived with a specific goal.
The starting point
Task cards in first-person language under a welcome header. Clear and easy to validate, but a card grid risks becoming another layer of navigation as the platform grows.
The pattern I was responding to
Users were navigating around looking for things that should have been one step away: a previous order, a delivery reference, a page they'd used before but couldn't locate. In B2B, that friction is expensive: a buyer repeating a weekly order doesn't want to browse; a logistics manager chasing a status doesn't want to scan a dashboard.
Design hypothesis
The homepage hero could work as a task entry point rather than a dashboard preview. The interface asks a direct question.
What would you like to do today?
System logic
Not a chatbot or AI assistant. A lightweight intent-matching layer (predictable, deterministic, no generation) recognises task language, product names and references, and routes to the most relevant destination. Reliability over flexibility at MVP stage.
Why not a smarter grid
A conversational field lets each user's language do the routing. The interface responds to intent, not to role.
Future-ready
Scalable to a more complex matching-keywords logic, or AI. The same entry point, suggestion layer and intent-to-destination mapping could be extended to handle more flexible or contextual queries.