From data overload to instant clarity: designing Suzy Signals’ AI experience for 60% faster insights

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Signals device composition

SUZY | AI Solutions for 0-1 | 2025

Context & Challenge

Problem: Researchers struggled with where to start, spent too much time designing studies, and faced long, manual processes to synthesize qualitative insights into stakeholder-ready results.

  • Unclear starting points: Researchers often struggled to know where to begin a study or how to connect it to business goals.

  • Time-intensive setup: Crafting a research plan meant manually defining objectives, writing survey questions, and selecting the right methodology, an effort that could take days or weeks.

  • Slow qualitative synthesis: Turning individual studies into a broader, representative story required conducting multiple interviews, analyzing patterns, and building stakeholder-ready reports; an exhausting, manual process.

 

Goal: Increase engagement and retention by enabling qualitative research at scale through a mobile-first, AI-integrated experience that shortens time-to-insight, reinforces ongoing product value, and positions the platform as the leading AI-native consumer intelligence solution.

role
 

Role: Director of Product Experience + IC (vision, UX, prototyping, UI).

 

UX Vision: Empower users of all skill levels to create high-quality surveys and uncover actionable insights through intuitive, transparent, and innovative tools that drive confident, informed decisions.

Solution & Process

Solution: AI-powered insights & decision engine

  • Signal Feed → effortless discovery, anticipatory, proactive recommendations

    • Recommendation driver:

      • Profile preferences: Industry type, challenges, past studies

      • Sharing: Shapes recommendations toward content that the user personally values and share-worthy

  • Chat with Signal → probe insights

    • Recommendation driver: Context, adds semantic depth to profile inferring preference to a topic

  • Auto Study Generator → instant research

    • Recommendation driver: Captures research intent, surfacing evidence-based resources and datasets.

  • Study Preview → AI moderator

  • Insight Story Decks → large data turned into a digestible exec-ready presentation

Process & AI Workflow

  • Co-led design with product, data science, and engineering

  • Built mobile-first mockups and prototypes in Figma

  • Defined UX for discovery, recommendations, AI interaction, and insight delivery

  • Simulated full experience with AI-generated content → signal summaries, survey Qs, exec-ready decks

  • Layered in UX flows + prototypes before backend existed

  • Tuned tone, trust, and storytelling so AI outputs felt usable, on-brand, and scannable

  • Crafted engaging background imagery through detailed writing and creative direction

Initial concepts

Impact & Leadership

Impact:

  • Projected: 60% faster time-to-insight

  • Projected: adoption expanded to VP-level, non-research users

  • Positioned platform as an AI-native consumer intelligence leader

Leadership Contributions:

  • Aligned PM + Eng on sequencing, scope and delivery

  • Presented prototypes and AI simulations to executive stakeholders for alignment.

  • Balanced hands-on design execution with coaching and feedback loops across teams.

Next

Survey Site Redesign