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PONDERA
cursor
Industry — SaaS AI analytics
uxui / research / product design
2024
Complex tooling, fragmented workflows, and change resistance made it hard to convert raw analytics into simple actions, so we focused on four solution pillars:

After the discovery process, we found small teams drowning in data, hopping between tools, and waiting too long for trustworthy answers. Our goal was to let a marketer or PM ask a question, get a clear next step, and review the supporting data in one place. This focus on reducing noise, shortening time to insight, and unifying workflows directly shaped the product strategy and design.

Teams were losing time jumping across tools to piece together an answer. Insight chat lets a marketer or PM ask a plain-language question and get a clear next step backed by product data. It reduces noise, shortens time to insight, and removes the need to translate analytics into action.


Patterns in behavior were hard to see without deep analysis. Persona chat uses profiles fed by the product’s own data and inputs on the platform, mirroring real segments so teams can explore who is doing what and why it matters without manual analysis. It keeps exploration grounded in actual users and turns it into a guided conversation that surfaces opportunities faster.



Stakeholders needed a quick read on what changed and what to do next. Dashboards curate only the essential metrics and trends so teams can spot movement at a glance and follow through with the right action. Less scrolling, more clarity.



The product needed to feel clear and approachable at every touchpoint. Logo, color, and typography work together to express clarity and accessibility. The visual system keeps screens consistent and readable, lowering cognitive load so users can focus on decisions instead of deciphering the interface.



20+ components were crafted to serve real workflows across the product, with tokens for type, color, spacing, and elevation keeping everything consistent from concept to handoff.



A cohesive concept and interface that lower the barrier to AI‑driven analysis, helping non‑technical teams move from data to decisions with confidence.