Skip to content
Identify the true needs and priorities of your users.Understand the context in which they interact with your product.Develop personas to represent user needs and guide decision-making.Create a mental model of how users see the world and interact with your system.
Map data touchpoints across the user journeyIdentify data gaps and plan how to fill them.Assess data quality and format to ensure usability.
Discovery
The Alignment Challenge
The journey to successful AI products begins with discovering users problems and their data—two foundational elements that set the stage for everything else. This phase aligns user research with data exploration to uncover actionable insights.
🎨 Discovery: Understanding Users
Empathy is at the core of great design. The goal is to deeply understand your target audience and replace assumptions with real insights.
Key Objectives:
Methods of UX Research
Method
Description
Key Benefits
Market Research
Analyze industry trends, competitor offerings, and user behavior patterns.
Prepares for user interviews and validates market needs.
User Interviews
Conduct in-depth conversations with potential users.
Direct insights help prevent misaligned assumptions.
Journey Mapping
Document the steps users take to achieve their goals.
Reveals pain points and opportunities for improvement.
There are no rows in this table
Example of a movie-goer’s journey, you could talk to users to understand what matters most to them, like movie genres, ticket prices, or convenience. Then, map their steps—from picking a movie to reflecting on the experience afterward.
⚙️ Data: Where We Can Play
Now taking the user journey and (Like the movie example) and start to map how data and technology touchpoints during the user journey.
Key Objectives:
Data Mapping Example
Journey Stage
Data We Have
Data Gaps
Potential Use Cases
Decide
Movie searches, ticket purchases
Preferred genres, proximity preferences
AI movie recommendations, optimized theater selection
Travel
GPS routes, parking data
Traffic stress levels, ETA expectations
Real-time navigation assistant, stress-reducing tips
Experience
Seat preferences, movie reviews
Sentiment during the movie
Personalized experience feedback, emotion analysis
Return
Exit timestamps, parking duration
Post-movie sentiment, fatigue levels
Safe drive recommendations, sentiment-based follow-ups
There are no rows in this table
Pro Tip: A clear picture of your data ecosystem early on helps avoid roadblocks during implementation and generate ideas.
🚀 Let's Connect
I'm always excited to discuss the intersection of AI and user experience, or explore potential collaborations.
✉️
🌎 Citizenship: US, Canada
📍 Location: Toronto, ON, Canada
💼
Want to print your doc?
This is not the way.
This is not the way.
Try clicking the ··· in the right corner or using a keyboard shortcut (
CtrlP
) instead.