Project Categorization Improvement

2024-12-20 11:39 UTC gpt-4o Open in ChatGPT ↗

You

I want to improve the categorization of my projects on my website.

The current system (See image) seems to be confusing type of project(interactive) with context(branding).

I want a 2 or 3 layered system of categories that manages to separate:

• context: Commercial vs Art
• author: Collaboration(someone hired us) vs Self-Production
• Type: Film, interactive, vr etc

This means that each project willl have a series of tags, not just one

Suggest the best categorization possible, based on modern digital curation standards, and with simplicity of User Experience in mind

ChatGPT

To improve the categorization of your projects, I suggest implementing a tag-based system with three main layers: Context, Author, and Type. This structure allows users to filter projects by one or multiple categories, creating a dynamic and intuitive browsing experience. Here’s how you can organize it:

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1. Context

Define the purpose or intent of the project:

• Commercial
• Art
• Social Impact
• Experimental
• Educational

Why: This helps differentiate projects by their broader purpose, clarifying the audience or intention behind the work.

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2. Author

Identify who drove the project:

• Collaboration (Client work or commissioned projects)
• Self-Production (In-house, passion projects, or independent initiatives)
• Partnership (Projects done with external organizations, not strictly hired)
• Co-Creation (Collaborative projects with shared creative authorship)

Why: It highlights the nature of the creative relationship and ownership of the project.

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3. Type

Define the medium or format of the project:

• Interactive
• Film
• VR/AR
• Branding
• Performance
• Digital Installation
• Hybrid Experiences

Why: It provides clarity on the technical and creative form the project takes, addressing user expectations.

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User Experience Implementation

1. Filter System:

   • Allow users to filter projects using a multi-select system where they can choose:
     • One or more tags from each layer (e.g., “Commercial + Collaboration + Film”).
   • Design the interface to visually separate the layers, perhaps through color coding or grouping.

2. Dynamic Display:

   • Use tags visibly on project thumbnails, allowing users to understand the categories at a glance.
   • Highlight key tags on each project’s detail page for clarity.

3. Default View:

   • If no filters are selected, display all projects sorted by relevance or recency.
   • Offer curated combinations as shortcuts, such as “Top Art Collaborations” or “Self-Produced Experiments.”

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Tag Examples

For a project, you might apply:

• Context: Commercial
• Author: Collaboration
• Type: Interactive, Branding

For another project:

• Context: Art
• Author: Self-Production
• Type: VR/AR, Experimental

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Why This System Works

• Flexibility: The tagging system accommodates diverse projects without forcing them into rigid categories.
• Discoverability: Users can explore projects that resonate with their specific interests by combining filters.
• Scalability: As new types of projects emerge, you can add tags without disrupting the system.

Would you like help designing how this would look or prototyping the interface?

You

are you sure anout these 4:

Identify who drove the project:

Collaboration (Client work or commissioned projects)
Self-Production (In-house, passion projects, or independent initiatives)
Partnership (Projects done with external organizations, not strictly hired)
Co-Creation (Collaborative projects with shared creative authorship)

ChatGPT

You’re right to question those distinctions—they could overlap or feel redundant. Let me refine them to ensure clarity, simplicity, and practicality, especially for user navigation and categorization.

Here’s a more refined approach to “Who drove the project” (Author):

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Revised Categories for Author

1. Client Work

   • Projects commissioned or hired by external entities (businesses, brands, individuals, etc.).
   • Examples: Branding campaigns, commercial ads, client-requested films.

2. Independent Production

   • Projects created entirely in-house or initiated by you without external directives. These include self-funded or personal passion projects.
   • Examples: Artistic installations, experimental works, or self-driven VR experiences.

3. Collaboration

   • Projects co-created with others (e.g., other artists, studios, or organizations) with shared creative input and equal authorship.
   • Examples: Jointly-developed exhibitions, co-directed performances.

4. Partnerships

   • Long-term, strategic collaborations with an organization, usually blending creative and operational input (often with shared goals like social impact or community engagement).
   • Examples: Ongoing collaborations with a nonprofit or an innovation lab.

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Why This Revision Works

1. Clear Boundaries: Each category now reflects a distinct type of authorship without redundancy or overlap.
2. User Understanding: “Client Work” and “Independent Production” are intuitive and align with common user expectations, while “Collaboration” and “Partnerships” capture more nuanced dynamics.
3. Scalability: This structure allows you to expand without ambiguity as new projects emerge.

Alternatives (If Simplicity is Key)

If simplicity is your top priority, you could distill the categories further into just three options:

• Commissioned (Client Work or Paid Hires)
• Self-Initiated (Independent Production or Passion Projects)
• Collaborative (Any joint efforts, whether co-created or as part of a partnership)

Would you prefer the more nuanced four-tier structure or the simpler three-tier approach?