The current prototype proves the ambition — ten feature tiles, one analyst, a roadmap. But it reads as an archive of tools, not a partner that thinks with you.
This proposal reframes the product around one question a brand team actually asks: “What should we do next, and why?”
Three rooms. One home. One line of words.
Collapse 10 feature tiles into 3 “rooms” of work, one ambient Home, and a workspace where decisions get assembled. Every side-trip (Pricing, Ingredients, Competitive) lives as a lens inside a room, not a separate tile.
This is not a rename. It is a mental model: what am I trying to know today?
Five rules that decide what we build — and what we don’t.
The world says a lot. Canvas tells you which sentences you need to act on this week.
Audiences you can speak to, not just segment.
Spate’s signal. Canvas’s voice.
Spate already covers 20B searches, 60M TikTok videos, and a trend lifecycle model. Canvas should integrate via API — and focus on what Spate doesn’t do well: tying predictions to Puig brands, to a workspace, and to a decision.
Inside Canvas, Predict appears as one module with three modes. Under the hood, they’re the same Spate data surfaced for three different kinds of question.
The visual system. Paper, ink, and a single pigment.
The home page is not a tile grid. It is a single-column feed, composed by Canvas each night. Three things, in order:
The three priority features are the only call-to-actions on home. Everything else is one ⌘K away.
Canvas is the same app for a CH global brand lead and a Rabanne market director in Italy — only the workspace in the header changes. Brand ↔ Market is a scope, not a separate product.
Rooms are composable: a market team sees Listen auto-filtered to its geography, Personas seeded from the local panel, and Predict querying Spate’s local data. No market-specific build required.