Anova is building the AI Growth Engineer for every internet business. It continuously analyzes customer behavior, finds the changes that will matter most, recommends experiments, and learns from every outcome. The company is positioning itself as the move from analytics to autonomous optimization.
I designed Anova's full launch system from start to finish: the brand identity, the marketing website, the product UI and the investor pitch deck. They're built as one consistent language, so customers, users and investors all meet the same company.
The challenge
Growth teams already have plenty of data: Shopify, Stripe, GA4, Meta and Google Ads, Klaviyo, heatmap tools. What they lack is a decision. Every tool shows what happened, and none answers the one question that matters:
"What should I change tomorrow to make more money?"
The design brief came from that insight: Businesses don't have a data problem. They have a decision problem. Anova couldn't look like another analytics dashboard. It had to feel like the answer.
Brand identity
A restrained, credible identity. It uses a lowercase wordmark and a calm, near-white canvas, made to sit confidently next to the enterprise tools Anova plugs into.
One decisive accent. A single confident blue is kept for the moment of decision: primary actions, the top recommendation, the "do this next."
The product as the imagery. Heatmap-warm data visuals are the brand's one expressive element. Anova's own output becomes its visual identity, so no stock imagery is needed.
Landing page
Hero:"See what your revenue is trying to tell you." It's paired with a product panel that feels live, showing a behavioral heatmap, revenue by page element, and recommendation chips. Visitors see the value before they scroll.
Story-led structure:"Ten tools. One unanswered question." leads into "Now everything speaks." The page takes the reader from scattered tools to a single intelligence layer.
Feature sections: heatmaps priced by element, journeys that find the leak, funnels measured in dollars, AI insights ranked by revenue impact, experiments on autopilot, and support for global storefronts.
Proof and close: a customer-voice section ("The data speaks") and a strong closing call to action to get started.
Product UI
Recommendation first. Every dashboard screen leads with what to do next, with the supporting evidence underneath. This flips the usual analytics layout.
The screens: behavioral heatmaps, journey and funnel analysis, recommendations ranked by impact with confidence levels, and experiment tracking from hypothesis to result.
Built to scale: shared components and data-visualization patterns, reused across the product, the site and the deck.
Investor pitch deck
A 14-slide investor briefing that tells the same story as the product, in order:
The problem: a decision problem, not a data problem.
The status quo: the manual growth loop.
The product: Anova as the AI operating system for growth.
The differentiator: behavioral intelligence.
The moat: the optimization flywheel, where every customer makes Anova smarter.
Each slide uses the same type, color and data-visual system as the site and app, so the company reads as one product at every touchpoint.
My role
Brand designer, product designer and web designer. I covered strategy and narrative, visual identity, UX and UI, the landing page, and the pitch deck. I worked across Figma, Claude Design, Framer and Claude Code, from first concept through to front-end build.