LastingMind

Client

4-week design sprint

Team

Founder · PM · Me (design)

Role

Lead Designer

Website

Handed to dev · prepping App Store

Overview

Product Context

LastingMind helps people preserve the stories, values, relationships, and experiences that make up their lives. Through guided voice-first activities, users gradually build a personal archive.

What if your stories could outlast you?

What if your stories could outlast you?

That archive can eventually power an AI-based conversational legacy, letting family revisit stories, ask questions, and better understand the person behind the memories when they're no longer around.

The Challenge

Users were asked to contribute a vast amount of deeply personal information without a clear sense of where to start, how the activities connected, or how each contribution moved them toward the final outcome.

Problem 01

No obvious starting point

“Tell me about your life” is overwhelming with nowhere obvious to begin.

Problem 02

Disconnected activities

The pieces didn't add up to a journey users could follow.

Problem 03

Invisible progress

Nothing showed contributions accumulating into something meaningful.

Problem 04

Unclear payoff

Users couldn't feel why their effort mattered or where it led.

ORIGINAL FLOW AUDIT

ORIGINAL FLOW AUDIT

Outcome

Outcome

In four weeks, an ambiguous idea became a cohesive mobile product with a clear journey, multiple ways to contribute, a meaningful progress system, and a repeatable model for AI-assisted capture.

The prototype now serves as the implementation reference for the development team, and is being prepared for App Store release.

In Development

App Store Next

Research & Discovery

Why open-ended asks overwhelm

Why open-ended asks overwhelm

I studied adjacent products and the science of remembering, then translated the findings into design principles.

WHERE I LOOKED

Journaling

Memoir writing

Family history

Conversational AI

Long-term learning

Adjacent Products

WHAT I READ ABOUT

Memory

Nostalgia

Motivation

Reminiscence

Gamification

Intergenerational storytelling

01

Specificity beats openness

Specificity beats openness

Specific prompts unlock memories that broad questions can’t reach.

02

Small, manageable steps

Small, manageable steps

Bite-sized activities lower the emotional and cognitive load.

03

Progress must be visible

Progress must be visible

People keep going when they can see something growing.

04

The “why” matters

The “why” matters

Understanding who benefits makes contributing feel worthwhile.

PROCESS ARTIFACTS

PROCESS ARTIFACTS

Information Architecture

One clear, progressive journey

I reorganized LastingMind into three progressive phases that move from familiar facts toward deeper reflection, plus an always-available space for everyday journaling. New phases unlock gradually, giving users a clear next step without exposing the full complexity of the journey at once.

I reorganized LastingMind into three progressive phases that move from familiar facts toward deeper reflection, plus an always-available space for everyday journaling. New phases unlock gradually, giving users a clear next step without exposing the full complexity of the journey at once.

PHASE 01

Foundation

Relationships, interests, experiences, and values that establish who the user is.

PHASE 02

Life Story

Deeper memories, turning points, and the personal chapters that shaped a life.

PHASE 03

Leave Your Legacy

Messages, guidance, and wishes the user wants to preserve for loved ones.

ALWAYS OPEN

My Study

An open-ended space for journaling, reflection, daily questions, and conversations with family.

Motivation System

Making an invisible archive feel alive

Building a personal archive takes time, while the value of each individual response can be difficult to see. I designed a layered motivation system that turns this gradual process into visible progress.

The tree grows as the user moves through the journey, while stars recognize the depth of each contribution. Modules can earn up to three stars, encouraging richer answers rather than simply more activity.

Reaching key star thresholds unlocks new sections and advances the tree to its next stage. Together, these signals show users that every story is shaping a fuller and more meaningful legacy.

A growing tree symbolizes the user's legacy taking shape, each stage of growth marking a new chapter of the journey. Stars acknowledge every contribution and signal depth: each module can earn up to three, and more stars mean a richer, fuller answer.


Reaching a star threshold unlocks the next section of the app and triggers the next stage of the tree's growth turning steady, low-pressure progress into something the user can see and feel.


Because the subject touches family, memory, and mortality, I avoided competitive mechanics and pressure-based streaks in favour of quiet, encouraging signs of growth.

Onboarding

Turning a cold start into a warm welcome

The original flow pitched features, then dropped users straight into the single hardest question, “How would you like to be remembered?” I reframed the first few minutes as a story: a seed that becomes a tree, a few gentle personal questions, and a clear picture of who this is all for.

The original flow pitched features, then dropped users straight into the single hardest question, “How would you like to be remembered?” I reframed the first few minutes as a story: a seed that becomes a tree, a few gentle personal questions, and a clear picture of who this is all for.

BEFORE

AFTER

WHAT CHANGED & WHY

01

A metaphor, not a feature list

A metaphor, not a feature list

The growing tree that powers progress is introduced on day one: “every legacy starts as a seed.” Users feel what they're building before being asked to build it.

02

Personal from the start

Personal from the start

Name and birthday are captured early and framed with a reason, “this places your memories within the timeline of your life”, and the app greets you by name.

03

Show the payoff, don't pitch it

Show the payoff, don't pitch it

Instead of leading with “AI-powered legacy,” the flow previews it: a glimpse of loved ones one day in conversation with what you've created.

04

Trust before depth

Trust before depth

A dedicated privacy moment, “what you share here is yours” lands before any meaningful sharing begins.

05

End on an easy first step

End on an easy first step

Rather than opening with the hardest question, onboarding hands users a gentle suggested starting point: the people closest to them.

Core Interactions

Designing the guided voice conversation

Voice lowers the effort to contribute, but users still need to know what to discuss, how much remains, and whether the AI understood them. I explored three models, each revealing a different strength.

Voice lowers the effort to contribute, but users still need to know what to discuss, how much remains, and whether the AI understood them. I explored three models, each revealing a different strength.

MODEL A

AI interview

A straightforward question-and-answer exchange.

Strength: Clarity & low ambiguity

MODEL B

Living conversation

A more immersive talk where the tree visibly gains more color as you speak.

Strength: Clear progress motivator & story based

MODEL A

Quiet Reflection

The user can speak as long as they like, in an open reflection no back and forth

Strength: Calm, emotionally-led atmosphere

This direction evolved into a separate Open Reflection mode for long-form storytelling.

THE FINAL DIRECTION

Calm, voice-first with its interpretation made visible

Users select relevant topics, answer one focused question at a time, and review the names, relationships, and details the AI extracts before saving them.


Rather than asking users to trust that the system understood them, the experience makes its understanding explicit and editable.

Strength: Clear progress motivator & story based

Different ways to contribute

Different memories require different kinds of interaction. I designed three voice-first formats, with typing always available, to add variety and prevent the journey from feeling like one long conversation.

Quick responses also give the AI useful context it can return to during deeper reflections.

Different memories require different kinds of interaction. I designed three voice-first formats, with typing always available, to add variety and prevent the journey from feeling like one long conversation.

Quick responses also give the AI useful context it can return to during deeper reflections.

Different memories require different kinds of interaction. I designed three voice-first formats, with typing always available, to add variety and prevent the journey from feeling like one long conversation.

Quick responses also give the AI useful context it can return to during deeper reflections.

01 · OPEN REFLECTION

One prompt, room for a longer story

Users respond without conversational interruptions, giving meaningful memories space to unfold naturally.

Best for: Long-form stories and reflection

02 · SLOT MACHINE

One prompt, room for a longer story

A playful prompt generator breaks up longer modules and makes collecting small facts and favourites feel less like completing a survey.


These answers can later become starting points for deeper AI follow-up questions.

Best for: Favourites, preferences, and quick facts

03 · PICK A CARD

Reveal one reflective prompt at a time

Choosing and flipping a card adds variety and makes abstract questions about values or wisdom feel more approachable.


The responses provide context the AI can explore in future conversations.

Best for: Values, beliefs, and advice

Conclusion

Impact

Over four weeks, I transformed an open-ended product concept into a cohesive mobile experience with a clear journey, multiple contribution formats, and a reusable model for AI-assisted storytelling. The coded prototype established the product’s core architecture and interaction patterns and was handed to development as the implementation reference.

Learnings

LastingMind gave me a strong opportunity to refine my AI-assisted design workflow and use rapid prototyping as a way to explore, test, and improve ideas with the team. One of the clearest findings was that older users consistently preferred simpler, more direct interactions, even when more elaborate concepts initially appeared more engaging. At the same time, they often responded more positively to a warm, animated, storybook-style visual language than to a clean, minimal interface, revealing an important distinction between interaction simplicity and visual richness.

LastingMind gave me a strong opportunity to refine my AI-assisted design workflow and use rapid prototyping as a way to explore, test, and improve ideas with the team. One of the clearest findings was that older users consistently preferred simpler, more direct interactions, even when more elaborate concepts initially appeared more engaging. At the same time, they often responded more positively to a warm, animated, storybook-style visual language than to a clean, minimal interface, revealing an important distinction between interaction simplicity and visual richness.

Contact

Let's Get in Touch

Send an email about your project and lets get started.

hi@stefnav.design

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Contact

Let's Get in Touch

Send an email about your project and lets get started.

hi@stefnav.design

Copied

Contact

Let's Get in Touch

Send an email about your project and lets get started.

hi@stefnav.design

Copied

Other Projects

Stefan

Navarrete

Stefan Navarrete

Product Designer | UX/UI Specialist |

Masters of Information, University of Toronto

© 2025 Stefan Navarrete. All rights reserved.

Stefan

Navarrete

Stefan Navarrete

Product Designer | UX/UI Specialist |

Masters of Information, University of Toronto

© 2025 Stefan Navarrete. All rights reserved.

Stefan

Navarrete

Stefan Navarrete

Product Designer | UX/UI Specialist |

Masters of Information, University of Toronto

© 2025 Stefan Navarrete. All rights reserved.