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From Search to
Smarter Decisions

Redesigning creator discovery with Skye AI—a conversational experience that helps brands find relevant creators, refine results naturally, and evaluate potential partners with greater confidence.
PRODUCT

Skye AI

Your Influencer Discovery Companion Powered by AI

UX Research

Product Design

AI Powered

Design Strategy

MY ROLE

Senior Product Designer

TIMELINE

3 Months

TEAM

Product & Engineering

PLATFORM

Web Application (SaaS)

THE PROBLEM

Finding the right creators was slow, complex and uncertain

Brands struggled to discover relevant creators, evaluate their authenticity and understand performance. The existing search was keyword-based which primarily searches creators based on username handle or name with basic profile information and had multiple filters making it time-consuming to shortlist for campaigns or creator lists and difficult to make confident decisions

THE CHALLENGES
  • Rigid search filters    

  • Time-consuming manual research

  • Lack of deeper creator insights

  • Hard to access brand safety and authenticity

  • Fragmented data across platforms

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THE SOLUTION

An AI-powered discovery and
decision support experience

We redesigned creator search with conversational refinement and powerful filters, and transformed the creator profile into a decision support view with rich insights, content analysis and similar creator recommendations.

KEY CAPABILITIES
  • Conversational search with AI refinement

  • Advanced filters with real-time results

  • Enhanced creator profile with insights and sentiment

  • Sponsored and trending content analysis

  • Similar creators to expand discovery

DESIGN STRATEGY

The vital question-How do we define the right solution?

How might we make creator discovery faster and more intuitive with conversational AI, while preserving the control and predictability that experienced users get from traditional filters?

DESIGN PRINCIPLES USED
  • User intent:
    Let users describe the creator they need in their own words.

  • Keep users in control:
    Preserve familiar filters for quick, precise adjustments.

  • Enable continuous refinement:
    Allow users to change requirements without restarting the search.

  • Support confident decisions:
    Provide richer creator context and avenue to explore similar creators.

DESIGN ASPECTS

Designing the
new discovery model

Design decision:
Prioritize the conversation and creator results while keeping filters accessible for precise adjustments.

Why:

Users could explore naturally without losing the familiar control of traditional search.
Trade-off:

A conversational interface offers flexibility, but direct filters can be faster for simple changes.

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A. Conversational search as the primary entry point

Instead of manually adjusting several filter settings, Skye AI lets users express the intent directly.

B. Filters remain available—but secondary

The interface retains filters at the top, allowing quick changes without typing another prompt. 

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C. Conversational refinement

Users can add requirements in the conversation and the list refreshes dynamically. 

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D. Conversation history as a return path

Users can return to a prior conversational thread and revisit its creator results. 

EXPERIENCE ENHANCEMENT

Similar creators:
extending discovery

The team introduced a “Find Similar” call to action after recognizing the value of reviewing groups of comparable creators. Selecting it refreshes results with creators who share relevant characteristics with the selected creator.

Why this mattered?

The action created a faster path from one promising creator to a broader set of potential campaign partners, reducing the need to restart the search manually.

SIGNALS OF CREATOR SIMILARITY
  • Content similarity and content themes

  • Language and biography

  • Follower count and earned media value

  • Audience characteristics

  • Visual patterns of posted content

Find Similar.png

CREATOR PROFILE ENHANCEMENT

Richer and contextual data for quicker decision and action

Alongside conversational discovery, the creator profile was enhanced from a primarily descriptive profile into a richer decision-support view. The goal was to help brands evaluate a creator in context and continue discovery from the same place.

PROFILE CONTENT
  • Core details: 
    Name, handle, biography, location, social accounts, follower count, and earned media value.

  • Performance context:
    Impressions and other verified performance metrics.

  • Sentiment analysis:
    Analysis of positive, negative and neutral comments and expressions.

  • Trending and sponsored content:
    Highlight the respective content and its statistics.

  • Similar creators:
    Provide a direct route to expand discovery from the current profile.

Before

Before_Creator Profile.png

After

Design rationale

Bringing creator information and discovery actions together can reduce context switching and help users move from finding a candidate to evaluating and expanding a shortlist

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USER JOURNEY

End-to-End Experience

1

Describe the creator brief in Skye AI prompt field.

2

Review a relevant set of creator results.

3

Refine results through conversation or visible filters.

4

Open a creator profile and assess available insights.

5

Explore similar creators to broaden the shortlist.

6

Add selected creators to a campaign or creator list.

IMPACT

Found creators faster and with confidence

WORKFLOW EFFICIENCY

61%

Reduction in the time required to add selected creators to a campaign.

Analysis Period:

1 MONTH

DISCOVERY ADOPTION

73%

Users explored similar creators to expand their discovery and shortlisting options.

ACTION FOCUSED

58%

Used enhanced creator profiles to assess statistics and shortlist potential partners.

Source:

FULLSTORY AND LIVE USER FEEDBACK SESSIONS

LEADERSHIP TAKEAWAY

Influenced the influencer discovery solution

I worked closely with Product, Engineering, and Data teams to translate user needs, business objectives, and AI capabilities into a cohesive creator discovery experience. By participating in design reviews, feasibility discussions, and AI workflow explorations, I helped shape an interaction model that balanced conversational discovery with familiar filtering controls. I also used feedback and observed usage patterns to evolve the experience through similar-creator discovery and richer creator profiles. Taking an end-to-end perspective, I connected discovery, creator evaluation, and campaign selection into a more continuous workflow, focusing on the overall user journey rather than individual screens.

KEY CONTRIBUTION
  • Business and technical alignment:
    Balanced user pain points, business goals, implementation effort, and existing AI infrastructure.

  • Cross-functional collaboration: 
    Partnered with Product, Engineering, and Data teams to understand AI prompt interpretation, creator retrieval, and technical constraints.

  • AI and usability:
    Made conversational search the primary interaction while retaining familiar filters for precise control.

  • Feedback-driven iteration: 
    Helped shape the “Look for similar creators” feature to extend discovery and support broader creator shortlists.

  • End-to-end systems thinking:
    Connected creator discovery, profile evaluation, similar-creator exploration, and campaign selection into one cohesive experience.

LEARNING

Reflection

Skye AI illustrates how conversational interfaces can simplify a complex search task when paired with clear controls and useful result context. The creator profile and similar-creators pathway extend the experience beyond finding results to evaluating and expanding a shortlist.

KEY LEARNINGS
  • Evolving assumptions:
    The value of creator discovery extended beyond finding relevant matches. The ability to explore similar creators became an opportunity to help brands expand their shortlists more efficiently.

  • Balancing AI and user control:
    The key challenge was making conversational search the primary interaction without removing the precision and familiarity of traditional filters. Retaining filters as supporting controls allowed both interaction patterns to coexist.

  • Future improvements:
    I would explore clearer feedback on how prompts influence results, more transparent explanations of creator matches, and better ways to refine or correct search interpretations.

  • Designing connected experiences: I learned to approach creator discovery as an end-to-end workflow connecting search, profile evaluation, similar-creator exploration, and campaign selection rather than optimizing individual screens in isolation.

  • Measuring success:
    I would measure search-to-shortlist time, creator relevance, prompt refinement rates, repeat usage of similar-creator discovery, and the rate at which shortlisted creators are added to campaigns. Qualitative feedback would help assess user trust and confidence in AI-generated results.

Lead Product Designer

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© 2026 Gladston Davis Johnson
All rights reserved

B2B SaaS · AI · Enterprise UX

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