UNDER CONSTRUCTION
AI-Assisted UX Discovery Activities
How AI can support, not replace, UX discovery. Grounded in clarity, speed, and depth.
Step 1
AI Support
Summarized strategy documents and surfaced early themes to accelerate team alignment.
My Role
Facilitated early discovery conversations, defined problem statements and Jobs to Be Done, and created a Project Poster to reframe vague goals into clear, actionable problem statements and goals.
Key Deliverables
Project Poster
Purpose & Problem Statement(s)
Summary Deck
Align on Problem &
Business Goals
Getting clear on the problem, who it impacts, and what success looks like.
→ Case Study Under Construction
Step 2
AI Support
Analyzed existing materials to surface gaps and assumptions, clarified what needed validation, and generated role-based prompts to explore both qualitative and quantitative questions.
My Role
Defined learning goals, identified the right participants, and crafted interview scripts/surveys to uncover meaningful patterns, validate assumptions, and filled knowledge gaps.
Key Deliverables
Research Plan
Interview Scripts / Survey Questions
Participant Matrix
Plan & Design Research
Mapping what we need to learn—and who can tell us.
→ Case Study Under Construction
Step 3
AI Support
Transcribed conversations and flagged recurring terms, sentiment shifts, and contradictions to support early insight extraction.
My Role
Led live interviews, built trust with participants, adapted questions in real time to dig deeper, and followed emotional cues to uncover insights that AI alone would miss.
Key Deliverables
Interview Recordings & Notes
Interview Transcript
Key Quotes & Observations
Conduct User & Stakeholder Interviews
Speak directly with users and stakeholders to identify pain points, expectations, and patterns.
→ Case Study Under Construction
Step 4
AI Support
Clustered feedback across interviews, identified themes, and prompted follow-up questions based on transcript to reveal additional needs, pain points, and behaviors.
My Role
Reviewed responses, clarified nuance and intent, and organized feedback into clearly defined user needs and pain points. Mapped each feature opportunity to the impacted user roles to help assess value and guide prioritization.
Key Deliverables
User Personas
Research Synthesis
Thematic Analysis Summaries
Feature-to-User Impact Matrix
Define User Needs & Pain Points
Uncovering unmet needs, frustrations, and patterns by analyzing what users say—and what they really mean.
→ Case Study Under Construction
Step 5
AI Support
Created “How Might We” statements, brainstormed early solution ideas, mapped opportunities to specific user types, and surfaced patterns that might have been overlooked—speeding up the path from insight to concept.
My Role
Shaped actionable opportunities from research by aligning user needs with business priorities. Identified potential solutions, assessed feasibility for MVP vs. future scope, and documented which problems we’d solve, defer, or discard.
Key Deliverables
“How Might We” Statements
Opportunity Themes
User Stories
Define Key Opportunities
Exploring early ideas by reframing pain points into design opportunities that align to user and business needs.
→ Case Study Under Construction
Step 6
AI Support
Used AI to refine existing research findings into clear summaries, discovery briefs, and user stories, accelerating documentation and reducing manual effort.
My Role
Synthesized what we learned into a concise, compelling story that explained the problems, who they impact, and why they matter. Made insights accessible across disciplines, helping the team align on user needs, pain points, and early solution ideas.
Key Deliverables
Discovery Brief
Research Summary Decks
Prioritized Scope
Communicate Discovery Findings
Turning research insights into clear, actionable guidance for cross-functional teams.
→ Case Study Under Construction