Designing the Agentic Analytics Growth Journey
Repositioning GoodData as GoodData.ai, without losing the analytics buyer journey people already trusted.
Role
Senior UX Designer, Growth
Client
GoodData
Industry
Analytics · B2B SaaS
I led growth UX for GoodData's repositioning as GoodData.ai, owning the user journey with a clearer two-path journey across AI-Driven BI and Agentic Analytics in growth surfaces.
- I did a full discovery. Aligned cross-dept stakeholders, perform journey evaluation and dogfooding, and diagnosed the funnel with GA4, Clarity and Amplitude before redesigning anything.
- Ran card sorting and buyer research to understand buyer's needs and balance with business acquisition strategy.
- Replaced a portfolio one level product menu with two clear paths: AI-Driven BI and Agentic Analytics.
- Restructured pricing based on monetization strategy and A/B-tested the pricing-page H1, lifting Contact-us conversions.
- Split the category page from the conversion page and carried the story into the trial with core-product UX designers
- Proposed growth loops enhacements within the AI Assistant, including activation messages suchs as context-aware introductions and feedback loops
- Built activation, growth loops and cooperated with core-product designers for Agent Builder in product and in the trial, enhanced profiling for signup and then rolled the system out across six surfaces in phase as a cross department collaborations
From a portfolio menu to two validated offerings
The old menu placed BI, Analytics Lake, Analytics as Code, AI Assistant and Embedded Analytics at the same level, with Product Overview adding another decision layer.
Navigation redesign: a validated two-offering model replacing the portfolio-style menu.
Usability testing and A/B tests on pricing: keeping "analytics" explicit
Agentic AI created interest, but analytics remained the clearest signal of product value, category and buying intent.
Pricing restructured around the way buyers understood and compared the offering.
Separate the category page from the conversion page
Explaining a new category and driving one specific action are different jobs. The Agentic Analytics page became the category pillar, teaching the offering and its capabilities.
Agentic Analytics is the category pillar; Agent Builder is the conversion-focused surface for governed AI agents.
From sign-up to first insight
The marketing screenshot and the real screenshot should be the same screenshot.
AI Assistant
We perform design critiques, usability testing and iterated to update the activation loops on the AI Assistant, primarily the started prompts chips.
AI Assistant
AI Hub and Agent Builder on trial
AI Hub and Skills Configuration sit at the admin/org level of the trial, where AI memory and knowledge in the workspace experience.
AI Hub and Agent Builder on trial
Growth loops built into the trial
The trial wasn't just a demo, it was a signal surface. We designed the upgrade moment to show up where users felt the ceiling, not as a generic paywall.
