IMVU: Hashtags

"Social connections made with ease and intention"

"Social connections made with ease and intention"

Role

Director, Product Design

Timeline

6 months

Scope

Profiles Search Chat Rooms

Teams

1 Designer Engineering Product Marketing

What & Why

IMVU is a pioneer in the social Metaverse space, where users create avatars, customize virtual spaces, and connect through immersive social experiences. Over time, new users struggled to navigate the volume of content, while existing users saw repetitive suggestions. The product team revisited an idea previously deprioritized due to tech debt: Hashtags.

My goal was to explore how hashtags could drive discovery, personalization, and retention—especially through interest-based content delivery. We started with user interests as the foundation, inspired by how social platforms help personalize content passively.

IMVU is a pioneer in the social Metaverse space, where users create avatars, customize virtual spaces, and connect through immersive social experiences. Over time, new users struggled to navigate the volume of content, while existing users saw repetitive suggestions. The product team revisited an idea previously deprioritized due to tech debt: Hashtags.

My goal was to explore how hashtags could drive discovery, personalization, and retention—especially through interest-based content delivery. We started with user interests as the foundation, inspired by how social platforms help personalize content passively.

Goals

Introduce hashtags to all user types through profiles

  • Seamlessly connect users to content and people via shared interests

  • Design and document new hashtag components

  • Simplify complex user flows identified in the brief and discovery

  • Apply new design system, avoiding legacy patterns

Introduce hashtags to all user types through profiles

  • Seamlessly connect users to content and people via shared interests

  • Design and document new hashtag components

  • Simplify complex user flows identified in the brief and discovery

  • Apply new design system, avoiding legacy patterns

Introduce hashtags to all user types through profiles

  • Seamlessly connect users to content and people via shared interests

  • Design and document new hashtag components

  • Simplify complex user flows identified in the brief and discovery

  • Apply new design system, avoiding legacy patterns

Approach

Working with one of my lead designers, we began ideation early—before a formal product brief. I encouraged research through product tear downs, pattern comparisons, and hypothesis building. Wireframes were developed in tandem with early product briefs.


I directed the designer to sync regularly with product and engineering, and pushed for earlier sanity checks on ideas to avoid costly course corrections later.

Working with one of my lead designers, we began ideation early—before a formal product brief. I encouraged research through product tear downs, pattern comparisons, and hypothesis building. Wireframes were developed in tandem with early product briefs.


I directed the designer to sync regularly with product and engineering, and pushed for earlier sanity checks on ideas to avoid costly course corrections later.

Solutions

  1. Onboarding Hashtags for New Users
    Addressed discoverability gaps and ensured all user types could engage with the feature from day one.

  2. Hashtag-Based People Search
    Design-led initiative to surface users with shared interests—laying groundwork for future search automation.

  3. Chat Room Hashtag Integration
    Connected profile hashtags to chat rooms, with plans to evolve into dynamic tagging of rooms and events.

  4. Component Development During Feature Work
    Built reusable components alongside the feature rollout, enabling broader redesign without disrupting delivery.

  5. Marketing Collaboration
    Proactively looped in marketing to align campaign visibility, avoiding last-minute scramble during launch.

  1. Onboarding Hashtags for New Users
    Addressed discoverability gaps and ensured all user types could engage with the feature from day one.

  2. Hashtag-Based People Search
    Design-led initiative to surface users with shared interests—laying groundwork for future search automation.

  3. Chat Room Hashtag Integration
    Connected profile hashtags to chat rooms, with plans to evolve into dynamic tagging of rooms and events.

  4. Component Development During Feature Work
    Built reusable components alongside the feature rollout, enabling broader redesign without disrupting delivery.

  5. Marketing Collaboration
    Proactively looped in marketing to align campaign visibility, avoiding last-minute scramble during launch.

  1. Onboarding Hashtags for New Users
    Addressed discoverability gaps and ensured all user types could engage with the feature from day one.

  2. Hashtag-Based People Search
    Design-led initiative to surface users with shared interests—laying groundwork for future search automation.

  3. Chat Room Hashtag Integration
    Connected profile hashtags to chat rooms, with plans to evolve into dynamic tagging of rooms and events.

  4. Component Development During Feature Work
    Built reusable components alongside the feature rollout, enabling broader redesign without disrupting delivery.

  5. Marketing Collaboration
    Proactively looped in marketing to align campaign visibility, avoiding last-minute scramble during launch.

Outcome

  • 83% conversion rate among first-time users using the quest

  • 74% engagement from daily active users within the first week

  • 3% lift in retention during testing (note: parallel events affected attribution)

  • Increased time on profile pages, prompting further feedback exploration

  • Growth in people search activity, driven by hashtag-based interest discovery

  • 83% conversion rate among first-time users using the quest

  • 74% engagement from daily active users within the first week

  • 3% lift in retention during testing (note: parallel events affected attribution)

  • Increased time on profile pages, prompting further feedback exploration

  • Growth in people search activity, driven by hashtag-based interest discovery

  • 83% conversion rate among first-time users using the quest

  • 74% engagement from daily active users within the first week

  • 3% lift in retention during testing (note: parallel events affected attribution)

  • Increased time on profile pages, prompting further feedback exploration

  • Growth in people search activity, driven by hashtag-based interest discovery

Learnings & Reflection

  1. Coaching Through Complexity
    I mentored a lead designer stepping into a managerial role, guiding them through product disagreements around hashtag search UX. With my support, they helped align product and engineering on a simpler, scalable solution.

  2. Cross-Platform Communication Challenges
    The year-long rollout across three platforms surfaced disconnects in team knowledge. I partnered with engineering leadership to instill a culture of open feedback and shared accountability.

  3. Scope Creep from Edge Cases
    The feature touched search, profile editing, FTUX, quests, chat rooms, and campaigns—leading to hidden scope. I later presented recommendations to leadership on how to better scale project scope to team capacity while maintaining impact.