Senior mode on Blusmart
BluSmart is an EV ride-hailing app in India, operating on a 100% electric fleet in Tier 1 cities like Delhi NCR and Bangalore. It differentiates itself from Uber, Ola, through strict policies around customer convenience, safety, and punctuality.
It was also a growing market opportunity for the team, the company saw 300% revenue growth between 2023–24, backed by government incentives for EVs in India, within an increasingly competitive ride-hailing space.
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This project focuses on understanding the challenges faced by elderly users in ride-hailing apps and enhancing BluSmart’s accessibility and inclusivity for senior users
What Me and my team did
This project was a collaboration between Varun Kunnath, Spandan Das and Antonio Cardozo.
To sumrise the project, we did research, surveys, interviews, and a WCAG 2.2 audit, we found that elderly users (55+) are the age group least likely to use cab apps because the apps are hard for them to use, small text, confusing icons, no local language support, and booking flows with too many steps.
To fix this, we designed a "Senior Mode" for BluSmart: a simplified home screen with large photo-based shortcuts for frequent places (home, temple, market, etc.), a shorter booking flow, bigger fonts and icons, and Hindi language support. We also made smaller accessibility fixes across the main app (better contrast, clearer search, etc.).
We also did user testing both versions with users, the redesign cut task completion time from an average of ~4 minutes down to under 90 seconds, and reduced errors and taps needed. That testing also revealed two remaining gaps (no confirmation step before booking, no guidance if users got stuck), which we patched with a confirmation dialog and contextual prompts.
View Complete Case Study
This was a group project, research, strategy, design, and testing all owned end to end. Conducted across 2 months, the process included secondary and primary research, a WCAG 2.2 accessibility audit, a survey with 54 participants, in-depth interviews, empathy and affinity mapping, 2 user personas, information architecture redesign, task flow simplification, wireframing, hi-fi design, and usability testing with 7 participants. The redesign cut average task completion time from ~4 minutes to under 90 seconds, and reduced both errors and taps needed to complete the primary booking task.
Senior mode on Blusmart
BluSmart is an EV ride-hailing app in India, operating on a 100% electric fleet in Tier 1 cities like Delhi NCR and Bangalore. It differentiates itself from Uber, Ola, through strict policies around customer convenience, safety, and punctuality.
It was also a growing market opportunity for the team, the company saw 300% revenue growth between 2023–24, backed by government incentives for EVs in India, within an increasingly competitive ride-hailing space.
Video Preview
This project focuses on understanding the challenges faced by elderly users in ride-hailing apps and enhancing BluSmart’s accessibility and inclusivity for senior users
What Me and my team did
This project was a collaboration between Varun Kunnath, Spandan Das and Antonio Cardozo.
To sumrise the project, we did research, surveys, interviews, and a WCAG 2.2 audit, we found that elderly users (55+) are the age group least likely to use cab apps because the apps are hard for them to use, small text, confusing icons, no local language support, and booking flows with too many steps.
To fix this, we designed a "Senior Mode" for BluSmart: a simplified home screen with large photo-based shortcuts for frequent places (home, temple, market, etc.), a shorter booking flow, bigger fonts and icons, and Hindi language support. We also made smaller accessibility fixes across the main app (better contrast, clearer search, etc.).
We also did user testing both versions with users, the redesign cut task completion time from an average of ~4 minutes down to under 90 seconds, and reduced errors and taps needed. That testing also revealed two remaining gaps (no confirmation step before booking, no guidance if users got stuck), which we patched with a confirmation dialog and contextual prompts.
View complete case study
This was a group project, research, strategy, design, and testing all owned end to end. Conducted across 2 months, the process included secondary and primary research, a WCAG 2.2 accessibility audit, a survey with 54 participants, in-depth interviews, empathy and affinity mapping, 2 user personas, information architecture redesign, task flow simplification, wireframing, hi-fi design, and usability testing with 7 participants. The redesign cut average task completion time from ~4 minutes to under 90 seconds, and reduced both errors and taps needed to complete the primary booking task.