Work

About

Artificial Intelligence Powered Travel App

Artificial Intelligence Powered Travel App

Helping you plan your dream trip without the stress.

60% more created and shared trips

27% more user retentiondo.

Android

IOS

Project Overview

Improved user retention by simplifying Travelook’s interface and enhancing the trip sharing flow.

Company: Travelook

Role: Strategy, Research, UX/UI

Mobile

Global

Travel

Approach

Discovery:

Competitor Analysis, User Research and Card Sorting.

 

Ideation:

Persona Development, Brainstorming, and Strategy Development

 

Design:

Collaborative Iteration, User Flows, Wireframes,

Prototypes & High Fidelity Screens

What we had

Users were struggling to create and shared successful trips, our retention rate is low. So what can we do to improve this?

Discovery Phase

To better understand the problem space, I started with:

  • Competitor Analysis: Benchmarked apps like Google Maps, Farmey, Wanderlog, and TripIt to identify gaps and best practices.
  • User Research: Conducted interviews and surveys to learn how people plan and share their trips.
  • Card Sorting: Helped define the information architecture based on user mental models.

Key Insight

Users were excited about planning trips but often gave up midway due to complexity and lack of guidance.

Our priority

Instant Drop-Off: Losing Users on the Sign-Up Screen

Users leave before even trying. Analytics show a steep 83 % drop-off on the registration screen. New visitors stop at the “Create account”, close the app — just immediate drop-off.

 

Why it happens?

  • Sign-up wall amplifies doubts – Being asked for personal data when the product’s purpose is still fuzzy reinforces abandonment. Value is hidden.
  • Form fatigue: the absence of social-login shortcuts and the barely visible error messages add unnecessary friction.
  • No brand guidelines – Makes the app look like a different (and less trustworthy) product than the one advertised.

Simplify the process and reducing noice.

Our principal feature was not clear to our users, the users weren’t completing creating trip plans.

We are giving too many unnecessary options, confusing paths and irrelevant information while failing to give feedback on important screens.

 

This problem caused frequent interruptions, causing users to give up on what we thought should be a straightforward process

We need to focus on providing more intuitive processes that align with our customers' goals and creating a great experience that is engaging and fulfilling.

Unify the visual design.

The current interface mixes typography, color palettes, and component styles, so each screen feels like it belongs to a different product. This inconsistency creates cognitive noise, erodes trust, and lengthens the learning curve.

 

What we need to do to standardize the look & feel

  • Establish a comprehensive design system—palette, type scale, iconography, spacing rules, and interactive components—applied end-to-end.
  • Introduce shared design tokens to serve as a single source of truth across all platforms.
  • Publish clear usage guidelines (states, error handling, motion patterns, do’s & don’ts) so every team can deliver coherent interfaces.

What is the company's vision?

Incorporate Artificial Intelligence

Our goal is to enhance the user experience by swiftly delivering precise content. Recognizing the potential value, we decided to integrate A.I. into the travel planning phase, a decision detailed in this case study.

 

By incorporating AI into the travel planning phase, we aim to provide users with quicker and more accurate information. With this, we wanted to enhance user satisfaction, which also reflects our commitment to leveraging innovative technologies to streamline processes. Ultimately, the integration of AI in travel planning contributes to our broader vision of creating a cutting-edge and customer-centric service.

Provide booking & shopping

Our goal is to enhance the user experience by swiftly delivering precise content. Recognizing the potential value, we decided to integrate A.I. into the travel planning phase, a decision detailed in this case study.

 

With our sales partners integrated into travel planning, users can buy tickets and book hotels right as they plan their trip. It's all about giving users a simpler and more convenient experience, which aligns with our overall company goals.

Design Process

I followed an iterative and user-centered design process:

  • User Flows: Designed streamlined flows for creating, editing, and sharing trips.
  • Wireframes: Built low-fidelity prototypes to test structure and usability.
  • High-Fidelity UI: Developed a modern and friendly interface aligned with Travelook’s branding.
  • Prototyping & Testing: Conducted usability tests to validate decisions and refine the design.

User Login

Design Interventions

 

  1. Align the story from store to splash.
    First-time visitors now encounter a three-screen storyboard that quickly shows how Travelook lets you plan a trip, share it with friends and follow adventures in real time. By revealing the end-to-end benefit before any form, we give newcomers an instant mental model of what the app is for and why it’s worth their time.

 

  1. Unify the visual identity.
    We built a mini brand kit—logo safe-area rules, a violet-to-indigo gradient, a single type scale and an icon family—and applied it everywhere: App Store screenshots, splash screen, login page, illustrations and system dialogs. This seamless look and feel reassures users that they’re still inside the same, trustworthy product they saw in the store listing.

 

  1. Slash form fatigue with one-tap sign-in.
    Apple and Google single-sign-on buttons now live at the top of the login card, followed by a trimmed e-mail-and-password fallback. Progressive profiling captures any extra data later, while large inline validation removes guesswork. The result: sign-up time falls from just over a minute to under 25 seconds and typo-driven errors all but disappear.

 

  1. Ask permissions in context, not in bulk.
    Instead of front-loading every request, the app now surfaces notification, location and personalised-ads dialogs only when they become relevant (for instance, location is requested the first time a map is opened). Users feel in control, opt-in rates rise, and the flow never stalls.

 

  1. Deliver an immediate “aha!” moment.
    Right after registration, travellers land on a template picker populated with demo content. Saving their first itinerary triggers a celebratory micro-animation, proving the app’s value in less than a minute and encouraging deeper exploration.

 

Taken together, these interventions replace a leaky, trust-eroding funnel with a concise, on-brand journey that shows value first, reduces cognitive load and invites users to stay.

What We Learned

  • Showing value before asking for data is the single biggest driver of completion.
  • Consistent colour & typography raised perceived quality (“looks more professional”) in post-test interviews.
  • Social login is now the dominant pathway (63 % choose Apple/Google), validating our shortcut strategy.
  • Contextual permissions triple opt-in rates without hurting retention.

Trip Creation Flow

What We Fixed & How It Performs

Creating a trip used to feel like filling out a long government form: every traveller faced the same linear questionnaire, had to decide the destination up-front, and saw no benefit until the very end. Completion rate hovered at 42 % and the average set-up time was 3 min 20 s.

Below is the narrative of the redesign and the specific UX moves that changed the outcome.

What We Learned

Destination first, but with a branch. The flow now opens with a single, pivotal question: “Do you already know where you’re going?”

 

YES → Quick Search – Users type or paste the city/region; autosuggest handles typos and displays a mini photo so they feel instant confirmation.

 

NO → Inspire Me – They pivot into an AI-powered idea generator that proposes three destinations based on season, budget, and trip length. A swipe selects one and jumps forward.

 

Why it works – People who felt stuck previously can now progress without leaving the app to “do some research.”

 

Progressive, context-aware form

  • Instead of a single, everything-on-one-screen form, we broke the data capture into lightweight cards:
    1. Dates & Nights – Calendar auto-marks public holidays; a chip shows “7 nights” so users grasp the range at a glance.
    2. Travel Style & Budget – Toggle chips (“City break”, “Road-trip”, “Beach”) and an optional budget slider appear only if “Inspire Me” was chosen.
    3. Companions – If the user travels solo we skip the “Invite friends” step; groups see a share link.

 

  • A vertical progress counter (1 ∙ 2 ∙ 3) gives a sense of momentum.

 

Smart defaults & inline validation

    • AI predicts a realistic budget range for the selected destination.
    • Conflicting dates (return before departure) show an inline toast—no modal interruptions.
    • All numeric fields present the keypad automatically; no more keyboard toggling.

 

Template & AI itinerary booster

  • Once basics are locked, the app offers two paths:
    • AI — Generate a draft itinerary (places, distances, images) in ≈ 8 seconds.
    • DIY — Start with an empty schedule and add cards manually.

 

  • Users can switch paths at any time; partial AI plans are editable.

 

Celebrate completion

  • The moment the itinerary is saved, the screen fades to a confetti celebration with “Trip Ready!” and a call-to-action to share. This micro-moment reinforces achievement and nudges social amplification.

Impact

Time-to-plan cut in half – Users reach a usable itinerary in under 90 seconds.

 

Decision paralysis solved – Almost half of new travellers rely on the AI path instead of dropping out.

 

Higher virality – The confetti screen plus share link lifted social invites, seeding organic growth.

Results

+60% increase in trips created and shared

+27% increase in user retention

These improvements were observed over a 3-month period after implementing the new design.

Continuous UX Improvement

This project allowed me to design a more intuitive and engaging travel planning experience. Through research, collaboration, and continuous iteration, we successfully addressed the main user pain points and positively impacted key metrics.

Android

IOS

Let’s work together

© Patricia Almeida 2022 All Rights Reserved

Patricia Almeida

Work

About

Artificial Intelligence Powered Travel App

Artificial Intelligence Powered Travel App

Helping you plan your dream trip without the stress.

60% more created and shared trips

27% more user retentiondo.

Android

IOS

Project Overview

Improved user retention by simplifying Travelook’s interface and enhancing the trip sharing flow.

Company: Travelook

Role: Strategy, Research, UX/UI

Mobile

Global

Travel

Approach

Discovery:

Competitor Analysis, User Research and Card Sorting.

 

Ideation:

Persona Development, Brainstorming, and Strategy Development

 

Design:

Collaborative Iteration, User Flows, Wireframes,

Prototypes & High Fidelity Screens

What we had

Users were struggling to create and shared successful trips, our retention rate is low. So what can we do to improve this?

Discovery Phase

To better understand the problem space, I started with:

  • Competitor Analysis: Benchmarked apps like Google Maps, Farmey, Wanderlog, and TripIt to identify gaps and best practices.
  • User Research: Conducted interviews and surveys to learn how people plan and share their trips.
  • Card Sorting: Helped define the information architecture based on user mental models.

Key Insight

Users were excited about planning trips but often gave up midway due to complexity and lack of guidance.

Our priority

Instant Drop-Off: Losing Users on the Sign-Up Screen

Users leave before even trying. Analytics show a steep 83 % drop-off on the registration screen. New visitors stop at the “Create account”, close the app — just immediate drop-off.

 

Why it happens?

  • Sign-up wall amplifies doubts – Being asked for personal data when the product’s purpose is still fuzzy reinforces abandonment. Value is hidden.
  • Form fatigue: the absence of social-login shortcuts and the barely visible error messages add unnecessary friction.
  • No brand guidelines – Makes the app look like a different (and less trustworthy) product than the one advertised.

Simplify the process and reducing noice.

Our principal feature was not clear to our users, the users weren’t completing creating trip plans.

We are giving too many unnecessary options, confusing paths and irrelevant information while failing to give feedback on important screens.

 

This problem caused frequent interruptions, causing users to give up on what we thought should be a straightforward process

We need to focus on providing more intuitive processes that align with our customers' goals and creating a great experience that is engaging and fulfilling.

Unify the visual design.

The current interface mixes typography, color palettes, and component styles, so each screen feels like it belongs to a different product. This inconsistency creates cognitive noise, erodes trust, and lengthens the learning curve.

 

What we need to do to standardize the look & feel

  • Establish a comprehensive design system—palette, type scale, iconography, spacing rules, and interactive components—applied end-to-end.
  • Introduce shared design tokens to serve as a single source of truth across all platforms.
  • Publish clear usage guidelines (states, error handling, motion patterns, do’s & don’ts) so every team can deliver coherent interfaces.

What is the company's vision?

Incorporate Artificial Intelligence

Our goal is to enhance the user experience by swiftly delivering precise content. Recognizing the potential value, we decided to integrate A.I. into the travel planning phase, a decision detailed in this case study.

 

By incorporating AI into the travel planning phase, we aim to provide users with quicker and more accurate information. With this, we wanted to enhance user satisfaction, which also reflects our commitment to leveraging innovative technologies to streamline processes. Ultimately, the integration of AI in travel planning contributes to our broader vision of creating a cutting-edge and customer-centric service.

Provide booking & shopping

Our goal is to enhance the user experience by swiftly delivering precise content. Recognizing the potential value, we decided to integrate A.I. into the travel planning phase, a decision detailed in this case study.

 

With our sales partners integrated into travel planning, users can buy tickets and book hotels right as they plan their trip. It's all about giving users a simpler and more convenient experience, which aligns with our overall company goals.

Design Process

I followed an iterative and user-centered design process:

  • User Flows: Designed streamlined flows for creating, editing, and sharing trips.
  • Wireframes: Built low-fidelity prototypes to test structure and usability.
  • High-Fidelity UI: Developed a modern and friendly interface aligned with Travelook’s branding.
  • Prototyping & Testing: Conducted usability tests to validate decisions and refine the design.

User Login

Design Interventions

 

  1. Align the story from store to splash.
    First-time visitors now encounter a three-screen storyboard that quickly shows how Travelook lets you plan a trip, share it with friends and follow adventures in real time. By revealing the end-to-end benefit before any form, we give newcomers an instant mental model of what the app is for and why it’s worth their time.

 

  1. Unify the visual identity.
    We built a mini brand kit—logo safe-area rules, a violet-to-indigo gradient, a single type scale and an icon family—and applied it everywhere: App Store screenshots, splash screen, login page, illustrations and system dialogs. This seamless look and feel reassures users that they’re still inside the same, trustworthy product they saw in the store listing.

 

  1. Slash form fatigue with one-tap sign-in.
    Apple and Google single-sign-on buttons now live at the top of the login card, followed by a trimmed e-mail-and-password fallback. Progressive profiling captures any extra data later, while large inline validation removes guesswork. The result: sign-up time falls from just over a minute to under 25 seconds and typo-driven errors all but disappear.

 

  1. Ask permissions in context, not in bulk.
    Instead of front-loading every request, the app now surfaces notification, location and personalised-ads dialogs only when they become relevant (for instance, location is requested the first time a map is opened). Users feel in control, opt-in rates rise, and the flow never stalls.

 

  1. Deliver an immediate “aha!” moment.
    Right after registration, travellers land on a template picker populated with demo content. Saving their first itinerary triggers a celebratory micro-animation, proving the app’s value in less than a minute and encouraging deeper exploration.

 

Taken together, these interventions replace a leaky, trust-eroding funnel with a concise, on-brand journey that shows value first, reduces cognitive load and invites users to stay.

What We Learned

  • Showing value before asking for data is the single biggest driver of completion.
  • Consistent colour & typography raised perceived quality (“looks more professional”) in post-test interviews.
  • Social login is now the dominant pathway (63 % choose Apple/Google), validating our shortcut strategy.
  • Contextual permissions triple opt-in rates without hurting retention.

Trip Creation Flow

What We Fixed & How It Performs

Creating a trip used to feel like filling out a long government form: every traveller faced the same linear questionnaire, had to decide the destination up-front, and saw no benefit until the very end. Completion rate hovered at 42 % and the average set-up time was 3 min 20 s.

Below is the narrative of the redesign and the specific UX moves that changed the outcome.

What We Learned

Destination first, but with a branch. The flow now opens with a single, pivotal question: “Do you already know where you’re going?”

 

YES → Quick Search – Users type or paste the city/region; autosuggest handles typos and displays a mini photo so they feel instant confirmation.

 

NO → Inspire Me – They pivot into an AI-powered idea generator that proposes three destinations based on season, budget, and trip length. A swipe selects one and jumps forward.

 

Why it works – People who felt stuck previously can now progress without leaving the app to “do some research.”

 

Progressive, context-aware form

  • Instead of a single, everything-on-one-screen form, we broke the data capture into lightweight cards:
    1. Dates & Nights – Calendar auto-marks public holidays; a chip shows “7 nights” so users grasp the range at a glance.
    2. Travel Style & Budget – Toggle chips (“City break”, “Road-trip”, “Beach”) and an optional budget slider appear only if “Inspire Me” was chosen.
    3. Companions – If the user travels solo we skip the “Invite friends” step; groups see a share link.

 

  • A vertical progress counter (1 ∙ 2 ∙ 3) gives a sense of momentum.

 

Smart defaults & inline validation

    • AI predicts a realistic budget range for the selected destination.
    • Conflicting dates (return before departure) show an inline toast—no modal interruptions.
    • All numeric fields present the keypad automatically; no more keyboard toggling.

 

Template & AI itinerary booster

  • Once basics are locked, the app offers two paths:
    • AI — Generate a draft itinerary (places, distances, images) in ≈ 8 seconds.
    • DIY — Start with an empty schedule and add cards manually.

 

  • Users can switch paths at any time; partial AI plans are editable.

 

Celebrate completion

  • The moment the itinerary is saved, the screen fades to a confetti celebration with “Trip Ready!” and a call-to-action to share. This micro-moment reinforces achievement and nudges social amplification.

Impact

Time-to-plan cut in half – Users reach a usable itinerary in under 90 seconds.

 

Decision paralysis solved – Almost half of new travellers rely on the AI path instead of dropping out.

 

Higher virality – The confetti screen plus share link lifted social invites, seeding organic growth.

Results

+60% increase in trips created and shared

+27% increase in user retention

These improvements were observed over a 3-month period after implementing the new design.

Continuous UX Improvement

This project allowed me to design a more intuitive and engaging travel planning experience. Through research, collaboration, and continuous iteration, we successfully addressed the main user pain points and positively impacted key metrics.

Android

IOS

Let’s work together

© Patricia Almeida 2022 All Rights Reserved

Patricia Almeida

Work

About

Artificial Intelligence Powered Travel App

Artificial Intelligence Powered Travel App

Helping you plan your dream trip without the stress.

60% more created and shared trips

27% more user retentiondo.

Android

IOS

Project Overview

Improved user retention by simplifying Travelook’s interface and enhancing the trip sharing flow.

Company: Travelook

Role: Strategy, Research, UX/UI

Mobile

Global

Travel

Approach

Discovery:

Competitor Analysis, User Research and Card Sorting.

 

Ideation:

Persona Development, Brainstorming, and Strategy Development

 

Design:

Collaborative Iteration, User Flows, Wireframes,

Prototypes & High Fidelity Screens

What we had

Users were struggling to create and shared successful trips, our retention rate is low. So what can we do to improve this?

Discovery Phase

To better understand the problem space, I started with:

  • Competitor Analysis: Benchmarked apps like Google Maps, Farmey, Wanderlog, and TripIt to identify gaps and best practices.
  • User Research: Conducted interviews and surveys to learn how people plan and share their trips.
  • Card Sorting: Helped define the information architecture based on user mental models.

Key Insight

Users were excited about planning trips but often gave up midway due to complexity and lack of guidance.

Our priority

Instant Drop-Off: Losing Users on the Sign-Up Screen

Users leave before even trying. Analytics show a steep 83 % drop-off on the registration screen. New visitors stop at the “Create account”, close the app — just immediate drop-off.

 

Why it happens?

  • Sign-up wall amplifies doubts – Being asked for personal data when the product’s purpose is still fuzzy reinforces abandonment. Value is hidden.
  • Form fatigue: the absence of social-login shortcuts and the barely visible error messages add unnecessary friction.
  • No brand guidelines – Makes the app look like a different (and less trustworthy) product than the one advertised.

Simplify the process and reducing noice.

Our principal feature was not clear to our users, the users weren’t completing creating trip plans.

We are giving too many unnecessary options, confusing paths and irrelevant information while failing to give feedback on important screens.

 

This problem caused frequent interruptions, causing users to give up on what we thought should be a straightforward process

We need to focus on providing more intuitive processes that align with our customers' goals and creating a great experience that is engaging and fulfilling.

Unify the visual design.

The current interface mixes typography, color palettes, and component styles, so each screen feels like it belongs to a different product. This inconsistency creates cognitive noise, erodes trust, and lengthens the learning curve.

 

What we need to do to standardize the look & feel

  • Establish a comprehensive design system—palette, type scale, iconography, spacing rules, and interactive components—applied end-to-end.
  • Introduce shared design tokens to serve as a single source of truth across all platforms.
  • Publish clear usage guidelines (states, error handling, motion patterns, do’s & don’ts) so every team can deliver coherent interfaces.

What is the company's vision?

Incorporate Artificial Intelligence

Our goal is to enhance the user experience by swiftly delivering precise content. Recognizing the potential value, we decided to integrate A.I. into the travel planning phase, a decision detailed in this case study.

 

By incorporating AI into the travel planning phase, we aim to provide users with quicker and more accurate information. With this, we wanted to enhance user satisfaction, which also reflects our commitment to leveraging innovative technologies to streamline processes. Ultimately, the integration of AI in travel planning contributes to our broader vision of creating a cutting-edge and customer-centric service.

Provide booking & shopping

Our goal is to enhance the user experience by swiftly delivering precise content. Recognizing the potential value, we decided to integrate A.I. into the travel planning phase, a decision detailed in this case study.

 

With our sales partners integrated into travel planning, users can buy tickets and book hotels right as they plan their trip. It's all about giving users a simpler and more convenient experience, which aligns with our overall company goals.

Design Process

I followed an iterative and user-centered design process:

  • User Flows: Designed streamlined flows for creating, editing, and sharing trips.
  • Wireframes: Built low-fidelity prototypes to test structure and usability.
  • High-Fidelity UI: Developed a modern and friendly interface aligned with Travelook’s branding.
  • Prototyping & Testing: Conducted usability tests to validate decisions and refine the design.

User Login

Design Interventions

 

  1. Align the story from store to splash.
    First-time visitors now encounter a three-screen storyboard that quickly shows how Travelook lets you plan a trip, share it with friends and follow adventures in real time. By revealing the end-to-end benefit before any form, we give newcomers an instant mental model of what the app is for and why it’s worth their time.

 

  1. Unify the visual identity.
    We built a mini brand kit—logo safe-area rules, a violet-to-indigo gradient, a single type scale and an icon family—and applied it everywhere: App Store screenshots, splash screen, login page, illustrations and system dialogs. This seamless look and feel reassures users that they’re still inside the same, trustworthy product they saw in the store listing.

 

  1. Slash form fatigue with one-tap sign-in.
    Apple and Google single-sign-on buttons now live at the top of the login card, followed by a trimmed e-mail-and-password fallback. Progressive profiling captures any extra data later, while large inline validation removes guesswork. The result: sign-up time falls from just over a minute to under 25 seconds and typo-driven errors all but disappear.

 

  1. Ask permissions in context, not in bulk.
    Instead of front-loading every request, the app now surfaces notification, location and personalised-ads dialogs only when they become relevant (for instance, location is requested the first time a map is opened). Users feel in control, opt-in rates rise, and the flow never stalls.

 

  1. Deliver an immediate “aha!” moment.
    Right after registration, travellers land on a template picker populated with demo content. Saving their first itinerary triggers a celebratory micro-animation, proving the app’s value in less than a minute and encouraging deeper exploration.

 

Taken together, these interventions replace a leaky, trust-eroding funnel with a concise, on-brand journey that shows value first, reduces cognitive load and invites users to stay.

What We Learned

  • Showing value before asking for data is the single biggest driver of completion.
  • Consistent colour & typography raised perceived quality (“looks more professional”) in post-test interviews.
  • Social login is now the dominant pathway (63 % choose Apple/Google), validating our shortcut strategy.
  • Contextual permissions triple opt-in rates without hurting retention.

Trip Creation Flow

What We Fixed & How It Performs

Creating a trip used to feel like filling out a long government form: every traveller faced the same linear questionnaire, had to decide the destination up-front, and saw no benefit until the very end. Completion rate hovered at 42 % and the average set-up time was 3 min 20 s.

Below is the narrative of the redesign and the specific UX moves that changed the outcome.

What We Learned

Destination first, but with a branch. The flow now opens with a single, pivotal question: “Do you already know where you’re going?”

 

YES → Quick Search – Users type or paste the city/region; autosuggest handles typos and displays a mini photo so they feel instant confirmation.

 

NO → Inspire Me – They pivot into an AI-powered idea generator that proposes three destinations based on season, budget, and trip length. A swipe selects one and jumps forward.

 

Why it works – People who felt stuck previously can now progress without leaving the app to “do some research.”

 

Progressive, context-aware form

  • Instead of a single, everything-on-one-screen form, we broke the data capture into lightweight cards:
    1. Dates & Nights – Calendar auto-marks public holidays; a chip shows “7 nights” so users grasp the range at a glance.
    2. Travel Style & Budget – Toggle chips (“City break”, “Road-trip”, “Beach”) and an optional budget slider appear only if “Inspire Me” was chosen.
    3. Companions – If the user travels solo we skip the “Invite friends” step; groups see a share link.

 

  • A vertical progress counter (1 ∙ 2 ∙ 3) gives a sense of momentum.

 

Smart defaults & inline validation

    • AI predicts a realistic budget range for the selected destination.
    • Conflicting dates (return before departure) show an inline toast—no modal interruptions.
    • All numeric fields present the keypad automatically; no more keyboard toggling.

 

Template & AI itinerary booster

  • Once basics are locked, the app offers two paths:
    • AI — Generate a draft itinerary (places, distances, images) in ≈ 8 seconds.
    • DIY — Start with an empty schedule and add cards manually.

 

  • Users can switch paths at any time; partial AI plans are editable.

 

Celebrate completion

  • The moment the itinerary is saved, the screen fades to a confetti celebration with “Trip Ready!” and a call-to-action to share. This micro-moment reinforces achievement and nudges social amplification.

Impact

Time-to-plan cut in half – Users reach a usable itinerary in under 90 seconds.

 

Decision paralysis solved – Almost half of new travellers rely on the AI path instead of dropping out.

 

Higher virality – The confetti screen plus share link lifted social invites, seeding organic growth.

Results

+60% increase in trips created and shared

+27% increase in user retention

These improvements were observed over a 3-month period after implementing the new design.

Continuous UX Improvement

This project allowed me to design a more intuitive and engaging travel planning experience. Through research, collaboration, and continuous iteration, we successfully addressed the main user pain points and positively impacted key metrics.

Android

IOS

Let’s work together

© Patricia Almeida 2022 All Rights Reserved