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Cluzy Homepage Workflow



Cluzy Homepage Case Study


A case study for an event check-in app that prioritizes user data privacy and rewards users fairly for the data they choose to share.

Project BriefResearch MethodologyDesign FocusEarning & RewardsDaily Re-EngagementConnection & CluzyTypePrivacy & TransparencyCluzy+ UpsellScreensAfterword


PROJECT BRIEF:


Goals
  1. Explore how to encourage repeat engagement after an initial event check-in.

  2. Determine how rewards should be surfaced and contextualized.

  3. Investigate how young adult eventgoers engage with:

    • Psychographic data sharing

    • Social and event-based platforms

    • Reward systems tied to participation


Audience

College students and young adults already accustomed to platforms like Instagram, TikTok, Ticketmaster, Eventbrite and Gametime.


The assumption was that users had already completed a quick anonymous check-in at an event, enjoyed the experience enough to create an account and were now returning to the platform intentionally.


The dashboard needed to feel familiar to existing platform habits: quick to scan, rewarding to revisit and transparent about how user data was being used.


Wireframes made in Figma



RESEARCH METHODOLOGY:


User Interviews via Zoom

Conducted three approximately one-hour Zoom interviews with participants (P1, P2 and P3) who regularly attended concerts, sporting events and other social outings discovered through social media or event-finding platforms.


Sessions included:

  • Guided interview questions

  • Two card-sorting activities

  • Cluzy prototype walkthrough

  • AgileBrain testing


Interview transcription and synthesis were organized in Notion.



Card Sorting:

Each participant sorted items into categories.

Tasks (most to least):

  • Time-Consuming

  • Difficult/Challenging

  • Annoying/Tedious

  • Boring

  • Forgettable

Rewards (highest to lowest):

  • Value

  • Interest



DESIGN FOCUS:


The core challenge was not simply encouraging engagement—it was designing around skepticism. How do you keep users coming back to an app whose whole proposition is "give us your data, fairly," when this is exactly what the rest of the internet has trained them to be suspicious of?


Cluzy asks users to share psychographic and behavioral data in exchange for rewards. Most existing platforms already do this passively, but users rarely feel informed or compensated.


The dashboard needed to:

  1. Make the value of data legible — show users what their points are actually worth.

  2. Reward return visits without nagging.

  3. Surface social connection without forcing participation

  4. Keep privacy controls visible and understandable


Most design decisions traced back to one of these tensions.


Out of Scope:
  • Push-notification prompting

  • Survey length copy

  • Mini-game treatment




EARNING & REWARDS:


Why Do Points Need a Dollar Value?

Participants immediately associated points with monetary value.


P1 specifically assumed points directly translated into dollars, which aligns with the mental model established by loyalty and rewards programs. Obscuring conversion rates risked making the platform feel evasive.


To address this, the CluzyCard surfaces: 100 points = $1.00

Store items are priced directly in points rather than abstract reward tiers, allowing users to quickly understand what their balance represents.


Progress Bars Everywhere

Card-sorting confirmed participants liked visible point tallies and progress bars. So progress indicators appear on:

  • Store items (how close to redemption)

  • Demographics completion (how much of the profile is filled)

  • Daily streak (consecutive check-ins)

This reframed participation into smaller, understandable milestones rather than abstract “engagement.”


Earning Points as a Transparent List

Actions and corresponding rewards were surfaced directly:

  • Mood check-in: +1

  • AgileBrain completion: +30

  • Goal update: +5

  • Survey completion: +3


Rather than burying rewards in onboarding or fine print, the system makes incentives visible before users commit to participation.


The account verification multiplier was also surfaced in multiple locations after interviews repeatedly highlighted transparency and trust concerns.



DAILY RE-ENGAGEMENT:


Why Hidden Daily Rewards?

P2 referenced Target’s Advent Calendar mechanic as a rewarding daily interaction pattern.

Cluzy adapts this through locked daily reward states:

  • Past rewards remain visible

  • Future rewards stay locked

  • Current rewards are labeled “Open Now”


The structure encourages return visits without relying on notifications or guilt-driven messaging.


Streak Design

The streak system functions as both:

  • A progress indicator

  • A lightweight retention anchor


Importantly, missed days are not punished or highlighted negatively. The emphasis stays on maintained progress rather than loss.



CONNECTION & CLUZYTYPE:


Why CluzyType?

Both P1 and P2 independently referenced Spotify Wrapped as the kind of personalized output they'd actually share. AgileBrain's 8-trait psychographic framework is rich, but P1 reported being confused by the results page.

So I split the framework into two layers:

  1. Detailed AgileBrain breakdown

  2. Simplified CluzyType summary card


The summary card is the shareable hook. The detail screen is the receipts.


Optional Social Discovery

Connection features were surfaced alongside demographic tools rather than replacing them.

Users could:

  • View similar users

  • Access messaging

  • Interact with community content


Participation remained opt-in. Users were never forced into a feed structure or default social experience.



PRIVACY & TRANSPARENCY:


Why Privacy Has to Be a First-Class Surface

Research kept circling back to one tension: users distrust data collection but feel powerless to opt out. Cluzy's whole pitch is that they should not feel powerless. The dashboard has to prove that with controls, not copy.


Examples included:

  • Per-field visibility settings within profile editing

  • Dedicated Privacy & Visibility settings

  • Inline demographic-sharing disclosures


The goal was to make privacy feel embedded into the product rather than appended afterward.



CLUZY+ UPSELL:


Why Cluzy+ Can Be Earned

P2 expressed interest in premium features only when framed through a free trial, but also admitted she rarely investigated premium offerings independently.


Instead of positioning Cluzy+ as a direct upsell, trial access became a redeemable reward: 72 Cluzy+ Free Trial Hours

This shifted the framing from:

“We want you to upgrade” to: “You unlocked this.”


The approach also ensured users had already demonstrated meaningful engagement before entering the trial.



CONSOLIDATING EVENTS & HISTORY:

P1's line stuck with me: "I'm so sick of having to check like seven places."


To reduce fragmentation:

  • Event discovery

  • Upcoming events

  • Check-in history

were consolidated into a unified Events tab.


The Home dashboard calendar and Events page both route to the same shared interaction surface, reducing duplicated UI structures and simplifying navigation patterns.



SCREENS:

  1. Home dashboard: points meter with dollar value, recent check-ins (venue + date + mood emoji), Earn More Points / Your Data Dashboard / Connect with Others tiles, CluzyType, pending surveys.

  2. Points/earning detail: the earning table rendered as a scannable list with progress toward the next reward.

  3. Cluzy+ Trial Reward: free trial as a redeemable Store item, feature list, earnings-vs-cost framing.

  4. Connect / community surface: like-minded peers, user-generated content with mood/like/comment.

  5. Events/check-in history: consolidated list with recommendation hooks.

  6. Privacy/data dashboard: what's been shared, dividend pool status, toggles.



AFTERWORD:


Cluzy exists in a space where users are already conditioned to distrust platforms asking for personal data.


The challenge was not simply making the dashboard engaging. It was making the platform’s intentions understandable through interaction patterns and layout decisions.


The strongest solutions often came from reversing familiar dark patterns:

  • Premium access became earned rather than aggressively sold

  • Privacy disclosures appeared inline instead of buried in settings

  • Rewards emphasized discovery rather than pressure

  • Loyalty mechanics clarified value instead of obscuring it


The project ultimately became less about maximizing engagement and more about making participation feel understandable, voluntary and transparent.

 

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