ThoughtSpot
AI‑powered analytics companion delivering real‑time insights, natural‑language answers, drill‑downs, and KPI watchlists with alerts and sharing, for decisions on‑the‑go, securely anywhere.
Organisation
ThoughtSpot
Designer
Kousik Dutta
Design Lead
Tarun Bhandari
Duration
January - April 2025
Outcomes
3X MAU Growth
3× MAU growth post redesign, driven by clearer flows and faster feedback.
App Ratings
Play Store rose to 4.8 stars and App Store rose from 2.9 to 4.9 stars.
Cloud Award
Won 2023–2024 Cloud Awards: Best in Mobile Cloud Solution.
+9.7k downloads
9.7k recent installs, signaling increased demand and better store conversion
Context
Unifying Liveboards, natural‑language answers, and KPI monitoring for on‑the‑go decisions demanded a modern, consistent mobile experience
Problem Statement
How might we deliver instant, trustworthy analytics on mobile by unifying Liveboards, natural‑language answers, and KPI monitoring with a consistent system, purposeful motion, and platform‑native behaviors so stakeholders can act confidently between meetings?
Process
A crisp six‑stage path from audit to handoff ensured high craft, repeatability, and measurable impact.
Design tenets
Principles that made the system coherent, fast, and legible everywhere.
Splash screen
Brand and performance aligned to create a trustworthy first impression. This helped us reduce first-time user drop off rates.
Watchlist KPIs
From static viewer to on‑the‑go KPI management with add, edit, and delete.
AI Audio Input
From static viewer to on‑the‑go KPI management with add, edit, and delete.
Problem
Text‑only input slowed exploratory queries for users preferring fast voice search.
Objective
Add microphone entry and state clarity to accelerate question‑to‑answer cycles.
Solution
Metric
Increased voice queries & faster voice to chart completion times.
Header Updates
iOS‑native clarity with glass, solid, and tinted options and smart collapse.
Problem
The basic header lacked smooth collapse and legibility for an iOS‑heavy audience.
Objective
Improve title readability while scrolling and reduce navigation errors.
Solution
Metric
Higher title legibility, fewer navigation errors, and faster content reach on long lists.
Advanced Filters
Mobile‑first, web‑parity filtering designed for clarity, speed, and context preservation.
Problem
Mobile filters were basic; web offered richer multi‑facet control and workflows.
Objective
Deliver advanced, trusted filtering on mobile without sacrificing speed or context.
Solution
Metric
Higher task success, faster multi‑facet edits, fewer steps, and better performance.
Learnings
Here are six concise learnings shaped by an iteration‑heavy process, rigorous handoffs, and async feedback loops.

















