HEY, I AM RAHUL — I DESIGN AI-POWERED PRODUCTS THAT MAKE COMPLEX SYSTEMS FEEL SIMPLE
HEY, I AM RAHUL — I DESIGN AI-POWERED PRODUCTS THAT MAKE COMPLEX SYSTEMS FEEL SIMPLE
HEY, I AM RAHUL —
I DESIGN AI-POWERED PRODUCTS THAT MAKE COMPLEX SYSTEMS FEEL SIMPLE
Lead Product Designer @Uniqode · AI-Fluent · 7+ Years
Lead Product Designer @Uniqode ·
AI-Fluent · 7+ Years
Lead Product Designer @Uniqode · AI-Fluent · 7+ Years
Previously @Teenage Engineering
Previously @TeenageEngineering
Case Studies
Case Studies
Updated: 01.01.2026
Updated: 01.01.2026
Analyse Feedback
Feedback Analytics
design Strategy
B2B SaaS
Design system
A B2B SaaS platform for advanced customer feedback analytics—designed to turn large volumes of feedback into clear, visual insights
✏︎ Enabled business-centric prioritization, allowing teams to rank feedback themes by Revenue (ARR), CSAT, or NPS impact rather than just volume.
✏︎ Built a "Drill-Down" interaction model, enabling users to jump instantly from high-level trend lines to specific verbatim feedback and AI summaries.
✏︎ Achieved >1000% growth in user adoption (10x increase in total events) over 2 years, proving the feature became essential to daily workflows.
✏︎ Reduced time-to-insight by ~30 hours per user/week, shifting the workflow from weeks of manual tagging to seconds of automated synthesis.
✏︎ Eliminated cognitive overload by redesigning "stacked" visualizations into a clear narrative hierarchy, reducing mental effort and excessive scrolling.
✏︎ Overhauled the brand system from the ground up, establishing a new accessible color palette, logo, and product name ("Voicely") to unify the visual language across the UI.
Adaptive Taxonomy
Feedback Analytics
design Strategy
B2B SaaS
Design system
Feedback Analytics
B2B SaaS
design Strategy
Design system
Designing an intelligent, multi-level data architecture to bring order and insight to fragmented customer feedback.
✏︎ Redesigned the core data structure, shifting from a legacy flat model to a multi-level "Adaptive Taxonomy" (L1 > L2 > L3) to mirror real business needs.
✏︎ Implemented a relational Knowledge Graph, linking feedback to revenue and account data to unlock cross-object business intelligence.
✏︎ Reduced manual maintenance by ~70% and duplicate keywords by 40%, transforming a high-friction system into a self-serve insight engine.
✏︎ Increased feedback coverage to 70%+ (a 20% recall improvement), ensuring teams capture the "Why" behind the data.
✏︎ Unified fragmented feedback channels (App Store, Support, Sales) into a single clarity-driven hierarchy, significantly improving customer time-to-insight.
Rahul Padsalgi © 2026
Rahul Padsalgi © 2026
Rahul Padsalgi © 2026
Adaptive Taxonomy
Feedback Analytics
Design system
B2B SaaS
design Strategy
Designing an intelligent, multi-level data architecture to bring order and insight to fragmented customer feedback.
✏︎ Redesigned the core data structure, shifting from a legacy flat model to a multi-level "Adaptive Taxonomy" (L1 > L2 > L3) to mirror real business needs.
✏︎ Implemented a relational Knowledge Graph, linking feedback to revenue and account data to unlock cross-object business intelligence.
✏︎ Reduced manual maintenance by ~70% and duplicate keywords by 40%, transforming a high-friction system into a self-serve insight engine.
✏︎ Increased feedback coverage to 70%+ (a 20% recall improvement), ensuring teams capture the "Why" behind the data.
✏︎ Unified fragmented feedback channels (App Store, Support, Sales) into a single clarity-driven hierarchy, significantly improving customer time-to-insight.
Analyse Feedback
Feedback Analytics
Design system
B2B SaaS
AI
design Strategy
A B2B SaaS platform for advanced customer feedback analytics—designed to turn large volumes of feedback into clear, visual insights
✏︎ Enabled business-centric prioritization, allowing teams to rank feedback themes by Revenue (ARR), CSAT, or NPS impact rather than just volume.
✏︎ Built a "Drill-Down" interaction model, enabling users to jump instantly from high-level trend lines to specific verbatim feedback and AI summaries.
✏︎ Achieved >1000% growth in user adoption (10x increase in total events) over 2 years, proving the feature became essential to daily workflows.
✏︎ Reduced time-to-insight by ~30 hours per user/week, shifting the workflow from weeks of manual tagging to seconds of automated synthesis.
✏︎ Eliminated cognitive overload by redesigning "stacked" visualizations into a clear narrative hierarchy, reducing mental effort and excessive scrolling.
✏︎ Overhauled the brand system from the ground up, establishing a new accessible color palette, logo, and product name ("Voicely") to unify the visual language across the UI.