TwinMind - Redesigning Onboarding to double Conversion

TwinMind - Redesigning Onboarding to double Conversion

2025 - Mobile App Design

2025 - Mobile App Design

INTRODUCTION

2/3 users never finished the onboarding journey. I found out why and shipped a targeted solution

Overview

Twinmind is an AI memory app with 350K+ users. Its value only becomes real once you record your first session, which makes onboarding a critical experience

My Role

Lead Product Designer (end-to-end). I diagnosed the drop-off, led the design decisions, and partnered with engineering across two release cycles to ship and measure the changes.

Duration

4 Weeks

Team

1 Designer (me)
2 Developers
1 Analyst

Rithvika Reddy, Aashna Keswani,
Atmaja Patel, Mehak Garg

white clouds and blue sky during daytime

impact

impact

Sign up to 1st session conversion doubled, going from 33% to 60%.

1st to 5th session conversion improved by 4% overall

Sign up to 1st session conversion doubled, going from 33% to 60%.

1st to 5th session conversion improved by 4% overall

AT A GLANCE

Targeted cuts, resequenced trust signals, and one recovery path that removed extra clicks and reduced time to value

RESEARCH & DISCOVERY

I pulled the Amplitude data, and clicked through the product on iOS and Android to investigate drop offs

Users were fatigued by unnecessary clicks leading to drop offs. The fastest wins were cutting friction from the flow

Each confusing screen was bleeding 1-3% of users. The overall flow also had logical fallacies.

SOLUTION

Broke the intro carousel into three standalone screens, building the case for calendar and notification access

Most users swiped past the carousel without reading it. Three separate screens, each requiring a click, fixed that.

I condensed the flow and redesigned the moments that were losing users

Sign Up Screen + Language

Trust signals added to the login screen, personalization condensed from 6 screens to one.

Capture 1st Memory

Redesigned the visual so the icons don't feel tappable. The speaking prompt is dismissable, users who weren't ready to talk could skip it.

For users who declined calendar access during sign-in, a nudge on the home screen gave them a second chance

Once the product had earned some trust, the home screen gave them another chance to connect their calendar.

REFLECTION

Removing friction is as impactful as adding features. But only if you know which friction to remove

Bud.ai fits into design and engineering teams and has the ability to act as an interdisciplinary collaborator. Let's look at what it can do for you

Taking a step back and understanding deeply

The data showed me where users were dropping. Clicking through the product myself showed me why. Those two things together gave me the confidence to cut screens that had real reasons behind them, and add trust signals where they'd actually land.

The next step is to work on long-term retention

The onboarding work moved the top of the funnel significantly. Mid-funnel retention is the next problem, a steep drop after week one that no onboarding fix can solve. That needs a different investigation, and I already know where to start.