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Weekend Art Walk App

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Personal Product Project

Firm: Self 

Duration: 10 hrs

Problem

As someone who loves art, I often found myself wanting to see exhibitions on the weekend—but struggling to answer a simple question:

What can I realistically see with the time I have?

Context & Constraints

This project was intentionally scoped as a personal, weekend-built MVP.

  • Key constraints included:

  • Weekend-only use case (Saturday & Sunday)

  • Limited, real-world time windows (e.g. a few hours in the afternoon)

  • Fragmented and inconsistent event data

  • No budget, no long-term maintenance plan

  • Goal of shipping a live, usable prototype, not a comprehensive platform

  • This was less about scale and more about designing a humane planning experience.

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Product Strategy & Key Decision shifts

  • Scoped the product to Saturday–Sunday only, aligning scope with real weekend planning behavior

  • Removed accounts, feeds, and social features to reduce friction and cognitive load

  • Designed discovery around time windows instead of long lists, supporting realistic planning

  • Introduced a single Featured Exhibition to anchor decisions and reduce choice overload

  • Prioritized flexible, swappable itineraries, deprioritizing high-commitment workshops while preserving user control

Reflection

  • Scoped the product to Saturday–Sunday only, aligning scope with real weekend planning behavior

  • Removed accounts, feeds, and social features to reduce friction and cognitive load

  • Designed discovery around time windows instead of long lists, supporting realistic planning

  • Introduced a single Featured Exhibition to anchor decisions and reduce choice overload

  • Prioritized flexible, swappable itineraries, deprioritizing high-commitment workshops while preserving user control

What I'd do Next

  • If expanded beyond an MVP, the focus would be on increasing usefulness without adding complexity:

  • Neighborhood clustering to support walkable art-hopping

  • Calendar export to make itineraries easier to commit to

  • Lightweight personalization based on past selections, without accounts

  • Smart reminders ahead of the weekend to prevent missed events

  • Careful expansion of data sources while preserving clarity and restraint

  • Each next step builds on the same principle: support real decisions while respecting users’ time and attention.

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