Ganesh Kumar
🤓

Ganesh Kumar

Product Designer in Indianapolis

lookin' for design + engineering, ux research, product roles...

11 days ago

About

I'm fascinated by the psychology behind our daily tech habits. Like why we doom-scroll TikToks at 2 AM, or why some apps feel like home while others just goes missing from home screen.

My design engineering mindset helps me build things, but my love for behavioral science helps me understand why people use them. I believe great products don't just solve problems – they work with our natural behaviors and quirks, not against them.

That's why I thrive at the intersection of product design and engineering. I combine technical precision with human-centered design to create experiences that feel less like tech-y and more like an intuitive extension of nature. 'Cause ultimately, tech should work for us, not the other way around.

Projects

2022

Letter - Deliver kindness on-the-go

A social app to deliver messages of kindness.
Go private and care.

Work Experience

2023 — 2024
Indianapolis, IN, US
  • Conducted comprehensive UX audit of the Help Center using heuristic evaluation and market sentiment survey, identifying 15 critical usability issues.

  • Cross-collaborated with Client Service, Marketing, Dev teams and conducted detailed user studies and applied Jobs-to-be-Done framework to uncover user needs, resulting in a 20% increase in user task completion rates.

  • Designed and executed mixed-method research plan:
    - Conducted 10 hybrid in-depth user interviews and 5 contextual inquiry sessions in focus groups.
    - Card sorting and tree testing to optimize information architecture of Help Center websites.
    - Analyzed Google Analytics page data and ran a mid-scale user survey (n=50) from MISO Clients.

  • Implemented a new design system in Figma and React Components for the Help Center that increased user task efficiency by 25% over six months, utilizing UsabilityHub and Optimal Workshop to gather and analyze data.

  • Utilized product analytics tools (Mixpanel, Amplitude) to track user behavior, funnel rates identifying drop-off points and areas for optimization.

  • Conducted A/B tests & First-Click testing on enhanced search, streamlined navigation, and knowledge base overhaul, leading to an 87% improvement in successful search rates.

  • Presented research insights to stakeholders, driving the implementation of a new visual layout of Help Center that increased Customer support task efficiency by 25% over six weeks.

    Business Impact - New Help Center design increased Customer satisfaction (CSAT) by 15% and reduced User Drop-Off rates by 6% & internal support ticket volume by 30% in a month.

2023 — 2023
Indianapolis, Indiana
  • Conducted Ethnographic research study on emergency response procedures, including 15 field observations and 5 participatory design workshops.

  • Employed cognitive task analysis to break down complex emergency response processes.

  • Designed custom ArcGIS Geo-analytics dashboard using Power BI to visualize response times in the difficult terrains and identify bottlenecks.

  • Conducted Time-Motion studies to quantify physical constraints in emergency response scenarios.

  • Utilized R and SPSS to analyze time-sensitive data logs, identifying critical areas for improvement that reduces response times.

  • Applied Service Blueprint methodology to map the entire emergency response ecosystem and make it Human-Centered with adequate rest times and scheduling algorithms.

  • Project Impact - Research findings led to process improvements that reduced average emergency response time by 22% i.e., pushing Total Aggregate Response Time in Emergency Response within 7.5 mins, potentially saving lives and minimizing damage costs [Unable to share specific details due to a Strict Non-Disclosure Agreement (NDA)]

2021 — 2022
Bengaluru, India
  • During my short tenure as a Natural Language Processing (NLP) Engineer at Amazon Alexa India, I was involved in the development testing and launch of an enhanced core model for the Hindi language in India.

  • The primary objective was to improve the usability of Alexa Hindi. This involved extensive A/B testing, as well as the facilitation of focus groups and comprehensive surveys aimed at gathering feedback from internal users [dogfeeding].

  • The incorporation of local dialects into the NLP training resulted in a notable 12% increase in the usability score and an 18% increase in the DAU of Alexa Hindi.

  • This experience was exceedingly gratifying and underscores the significance of adapting NLP models to local linguistic nuances

2020 — 2021
Chennai
  • Implemented Lean UX methodology for rapid ideation and testing of new features and leading screen designs, API integration, and database management.

  • Conducted competitive UX Benchmark study of 8 health tracking apps, identifying key journaling features and usability standards of it and analyzed large user surveys (n~200) to prioritize feature development, using Kano model for feature classification

  • Performed User Segmentation analysis using k-means clustering, identifying 3 key user personas for food and Activity Journal based on Age, Demographics, Healthcare provider etc., and with FullStory and Hotjar analyzed User behaviors, to identify pain points in the user journey map

  • Created and maintained design system tokens in Figma and Android Theme API, improving design-to-development hand-off efficiency by 30%.

  • Conducted privacy impact assessments for food & activity tracking, ensuring compliance with health data regulations (HIPPA) and reducing 6 critical privacy risks.

  • Redesigned onboarding flow based on research insights, implementing a gender-inclusive onboarding UI that improved app NPS by 17%.

  • Business Impact - The New Food & Activity Journal feature increased user retention by 25% and daily active users by 35%, contributing to an INR 2.36M (~$31K) increase in Annual Recurring Revenue.

2019 — 2020
San Francisco Bay (Remote)
  • Held the position of APM Intern within the Mobile Notifications Team, focusing on redesigning Android Notifications for the Android 10 release.

  • Collaborated closely with the Design team to overhaul the Notifications layout, employing the 'Chirp' Design system.

  • Contributed suggestions for enhancements to both the Notifications API and the Product Analytics API.

  • Our collective efforts led to a measurable decrease in the churn-out factor for Notifications, resulting in an increase in app openings.

  • The project provided a rewarding experience through the positive impact of our teamwork.

2020 — 2020
Chennai

Joined as an Summer Intern in Mobile Application Development Team at IHL.
- Worked on Cross Platform mobile App development in Flutter.
- Handled UI design, API Integration, Database management

2017 — 2018
Chennai

Worked on PBX systems
- Developed low cost Rpi based Prototype
- Implementing E-PBX in Campus

Volunteering

2019 — 2020
Remote

-Mentored Kids of age group 13-17 for TensorFlow organisation in Google Code-In, annual coding challenge conducted by Google for various Open source Org.
- Mentored on Open Source Contributions, Git, Basics of ML, AI, TensorFlow, TF.js and TFLite.

Education

2022 — 2024
2017 — 2021
Chennai, India

Institute Silver Medalist 2021
Outstanding Project of the Department 2021

Contact

Website