Moving organizations with high-fidelity evidence.

For 10 years I’ve been turning research into critical business infrastructure at global product companies; helping teams navigate ambiguity and turn data into unified, actionable missions.

edeuclide@gmail.com

I’ve worked with…

Research doesn’t enable products; it enables people

I’m Edward, I help people make decisions, navigate ambiguity, correct flawed assumptions, and align strategic efforts with high-fidelity evidence.

When the path forward feels uncertain, stagnant, or just uninspiring, my work provides the evidence-based direction and purpose the people managing, designing, engineering, and leading need to move with confidence.

Case Study: Microsoft Teams

Restoring Metric Integrity & Emotional Context to the Meeting Join Flow

From 2021 to 2025, I led research for Microsoft Teams meeting experiences; covering foundational and evaluative research across the high-traffic join funnel, screensharing, breakout rooms, premium product tiers, and more.

This case study dives into a specific initiative where telemetry panic, stakeholder misalignment, and human psychology collided: The Meeting Join Funnel.

Summary

The Challenge

A sharp drop-off in the meeting join funnel had leadership panicked. The product team, now under serious pressure to optimize this conversion metric, was preparing to dive headfirst into a “fixing the number” strategy.

The Intervention

  • Flagging that any pursuit to fix this without understanding the why beneath it, was a likely-to-fail investment

  • Partnering with Data Science, I audited our data pipelines to prove the tracking logic was mischaracterizing normal human workflows as failures (and vice versa)

  • Qualitative research revealed powerful social-emotional dynamics were the underlying cause, and that their pre-defined strategies wouldn’t achieve their goals

The Outcome

  • Corrected the team’s core success metric and long-term product health tracking

  • Re-focused the team onto delivering value, instead of targeting a hollow, superficial number

  • Aligned the team and leadership on our mission: focusing on solving for the social-emotional needs, not just efficiency

  • Conceptualized, prioritized and integrated new features

Case Study: Microsoft Teams

Restoring Metric Integrity & Emotional Context

From 2021 to 2025, I led research for Microsoft Teams meeting experiences; covering foundational and evaluative research across the high-traffic join funnel, screensharing, breakout rooms, premium product tiers, and more.

This case study dives into a specific initiative where telemetry panic, stakeholder misalignment, and human psychology collided: The Meeting Join Funnel.

Summary

The Chalalenge
Quantitative funnel data indicated a sharp drop-off at a critical transitional phase in the user journey. Under serious pressure from leadership to optimize this conversion metric, the team prepared to dive headfirst into “fixing the number”.

The Intervention
I intervened by demonstrating that the team was optimizing for a hollow metric/number, rather than a user problem. Partnering with Data Science, I audited our data pipelines to prove the tracking logic miscategorized normal human workflows as failures (and vice versa), while my qualitative research revealed powerful social-emotional dynamics that were actually the underlying cause of behavior.

The Outcome

  • Corrected the team’s core success metric and long-term product health tracking

  • Re-focused the team onto delivering value, instead of targeting a hollow, superficial number

  • Introduced a framework for social-emotional user needs to deepen the team’s product thinking and align leadership on the mission

  • Conceptualized a set of features around these needs which was prioritized and integrated into the global product

The Challenge

Quantitative funnel data indicated a sharp drop-off at a critical transitional phase in the user journey. Under serious pressure from leadership to optimize this conversion metric, the team prepared to dive headfirst into “fixing the number”.

The Intervention

I intervened by demonstrating that the team was optimizing for a hollow metric/number, rather than a user problem. Partnering with Data Science, I audited our data pipelines to prove the tracking logic miscategorized normal human workflows as failures (and vice versa), while my qualitative research revealed powerful social-emotional dynamics that were actually driving user behavior.

Fixing Flawed Assumptions:
Telemetry Panic vs User Intent

This initiative began when standard funnel telemetry flagged a significant drop-off point in the meeting join journey. Because this metric was highly visible to leadership, the product team felt intense pressure to “fix the number” quickly.

The team initially converged on two tactical solutions:

  1. Just get rid of it: Artificially shorten the funnel by just removing steps. They can’t drop-off at that screen if the screen isn’t there…

  2. Re-design it: Assuming the drop-off was a result of usability, a design overhaul was set underway.

I challenged both directions as I quickly recognized this as a classic, “make number go up” strategy which was steering them toward pointless, empty efforts. I argued we were reacting to a number without understanding the underlying human behavior. We didn’t know why this number was occurring nor that it was a problem for users. And if we didn’t know that… all our efforts were shots in the dark. With the stakes so high for the team, that wasn’t acceptable.

  • Removing the step wouldn’t make anything better for users. And, it would just move the drop-off issue to another part of the flow: Removing it wasn’t targeting solving a problem, it was just targeting optimizing for a number. It wouldn’t be adding value to users, and it wouldn’t even achieve our goal. It is normal for drop-off to spike near the final point of commitment; of course they’re dropping off more there, it’s the last place they can.

  • The usability assumption was deeply unlikely: This step in the flow had not been heavily researched, but it was an implicit part of many other studies throughout the organization, which I pulled together to prove (without significant investment) that pure usability was not the cause. It’s not like users didn’t know how to click the big purple continue-button…

This allowed me to pause the team and refocus them away from superficial, hollow optimizations and toward structural, user-centered clarity.

Repairing the Metric:
Re-defining Success

I designed a dual-track discovery approach to replace assumptions with evidence.

Track 1: Evaluating the Experience + Concepts
I conducted evaluative sessions of both the existing interface and new concepts. I identified UI inefficiencies but none which explained the drop-off behavior. This confirmed my hypothesis: Usability was not causing the drop-off and making changes to it, wouldn’t adjust the behavior or result in us hitting our goal.

Track 2: The Data Science Pipeline Audit
Simultaneously, I initiated a partnership with our Data Scientist to investigate our core product health dashboards. Together, we audited the data logging logic. We discovered that our automated tracking system was superficial and flawed. By integrating my qualitative observations and product-thinking, we transformed how we tracked engagement by introducing more nuanced behavioral bucketing that accounted for real-world workflows, re-shaping the team’s core metrics and establishing a far more accurate baseline for tracking.

A Paradigm Shift:
Social-Emotional Needs

While the data audit stabilized the metrics, my research uncovered the invisible, psychological drivers behind the drop-off moment: social and emotional anxiety.

Historically, the product organization operated under the view that Microsoft Teams was a productivity tool; that users primary needs were efficiency. My findings upended this assumption.

In physical-world architecture, doors leading into shared spaces rarely consist of solid walls. They have windows. Why do office doors usually have windows (even if frosted)? Why do storefronts have big glass doors or windows? Because humans want to know what they’re heading in to and without it, the space is unwelcoming or anxiety-inducing. Like texting a friend before going to a party, “Hey are you already there?”. We want to know who is there before we go in.

The transition into a meeting space (whether virtual or physical) abides by these same needs and principles. The digital meeting join funnel and drop-off was better understood by these social/emotional dilemmas; were users intentionally pausing because they had no visibility into the social landscape ahead of them? Because they didn’t know what was behind the door?

To scale these insights and align stakeholders, I turned this framework into an engaging, short-form video narrative. Using the physical architecture of “windows" and social-anxiety, I made the psychological concept tangible for the team and leadership to understand not just the decision on this project, but on understanding our mission.

New Frameworks:
New Features

It’s not uncommon to see things like “Jobs to be Done” sprout up on teams, it is uncommon to see them actually progressed into the outcome driven innovation they are actually meant for.

I created and proposed new product concepts from this research: Contextual Awareness Indicators. Features which allowed users to get peeks or glimipses into the relevant social context they’d be moving in to before actually opening the door. After leading concept validation on this feature set, it was prioritized by product, built, and shipped to our global user base.

The Outcomes

  • Corrected the team’s core success metric and long-term product health tracking

  • Re-focused the team onto delivering value, instead of targeting a hollow, superficial number

  • Introduced a framework for social-emotional user needs to deepen the team’s product thinking and align leadership on the mission

  • Conceptualized a set of features around these needs which was prioritized and integrated into the global product

Case Study

The Future of Work at Best Buy

During my time at Best Buy, I worked as a Research and Strategy lead for the Employee Experience, which created the tools and service models for about 90,000 storefront employees: sales associates, warehouse staff, and Geek Squad agents.

My mission was to improve and optimize their workflows. This case study focuses on a large-scale, platform consolidation of a fragmented ecosystem with over 15 different digital tools alongside an exploratory new operating and staffing model.

Case Study

Creating New Demand for Bolt Ride-hailing

I was the sole researcher for Bolt’s most business-critical vertical: ride-hailing. Operating within a high-velocity, low-margin, global mobility ecosystem and two-sided marketplace, my scope covered a roadmap for millions of users across diverse international markets. I lead research that bridged the gap between digital interface, the real-world operational service quality, and our customer’s lives.

The Digital-to-Service Reality Gap

Building research as a strategic pillar

I’ve spent my career enmeshing research into global companies with large-scale product ecosystems;

translating user insights into down-to-earth narratives that spread throughout organizations.

Research doesn’t simplify reality. It introduces the nuance required to take the right action.

Most product teams don’t suffer from a lack of data; they suffer from an over-simplification of reality. In high-pressure environments, teams often target “simplifying complexity”. But in my experience, organizations are already operating from too convenient, too simplified views of their users; that’s exactly where missteps happen.

My approach to stakeholder alignment is rooted in my background as an educator. In a classroom, we don’t share lessons to make the world smaller or simpler; we share them to expand a student’s worldview and toolkit for thinking.

“Understanding the user” is passive and meaningless. Understanding isn’t the goal… action is.

I design learning experiences for cross-functional teams to create a collective, internalized mission around what we are building and why. My goal is not to hand you a flat, simplified summary. My mission is to give your team a highly clear, expanded perspective of the user’s reality so we can make higher-fidelity decisions that aren’t necessarily “simple” but are clear.

Are the decisions you have to make super simple? If so, why do you need a researcher? Your decisions are complex, the answers to those decisions are also complex and anyone claiming it’s “simple” is either selling you something or just not actually engaging with your decision/question.

Lessons for Stakeholders

Early in my career, a PM came to me with a transactional question, “How many push notifications can we send before users shut them off?”. A simplified worldview. Through both my process of engagement and the research itself, I recentered this stakeholder to focus on strategic value: “What communications do the users find valuable?” and "Which contexts demand an immediate push notification versus something else?”

I didn’t change my stakeholders worries or underlying needs, I changed their simplified approach. In truth, I made it more complex, more nuanced. But that’s what was needed to make the decisions, to build the product, and ensure that the lessons learned from it lasted beyond a single moment in time.

Research provides lessons which simply complicate.

Research is a learning experience for your team.

My approach to research is rooted in my history as an educator. I design learning experiences for stakeholders. Most teams have data, but its fragmented and teams are under-pressure. Insight is useless if it isn’t understood and internalized by those who have to take action from it.

I use research to create collective understanding amongst teams and organizations about what we are doing and why. I embed foundational frameworks which help turn insights into internalized missions for teams.

“Understanding your users”, is too simple and doesn’t actually do anything. “Understanding” isn’t actually the goal. The goal is action. Many reports claim to simplify complexity and to me, this is not the goal. In fact, I feel my role is not to create a simplified understanding of the users’ reality, in my experience, organizations are already working from that simplified view (even if it is multi-faceted).

My mission is much like that of the classroom… We don’t share lessons with students to make the world simpler. It’s the opposite. These lessons add more complexity. Even if the lesson itself is simple, the impact is greater complexity on the student’s worldview, more tools for thinking about the world.

I approach my work with stakeholders with a similar lens. My work will re-complicate your team’s understanding of their role in affecting their users, but it will do so with clarity.

Early in my career a stakeholder came to me asking, “How many push notifications can I send before they shut them off?”, a simple worldview. Through both my process of engagement and the research I complicated that perspective to focus on things like, “What communications do they find valuable?”, “What communications belong as a push-notification and what as something else?”.

The mission isn’t simplicity, its comprehension and action.

“The shortest distance between two people is a story.”

— Patti Digh

Data informs, but stories move teams.

As a trained storyteller, I bring the voice of your user to the center of the process.

As a trained theatre artist, I bring the voice of your user to the center of the process. Narratives shape reality and comprehension far more effectively than static data points. The fastest and longest-lasting way to communicate the complexities of life and people (users) is through a narrative that sticks.

Most stakeholders can’t recall specific metrics from a report, sometimes even moments after a meeting ends, but they never forget a well-framed story. I use narrative frameworks to make my research durable, ensuring the user’s reality remains the North Star long after the research or project has ended. When we weave evidence into stories, we start focusing on the right problems.

Who I am

Hello!

We're a team of passionate thinkers and doers, dedicated to building with purpose and clarity. Collaboration and curiosity drive everything we do.

Professional References

“Ed is an excellent communicator helping the business see a complete picture in order to address major breakdowns in the customer journey. He is smart, dependable and does not hesitate to go the extra mile.”

Aishwarya Pesala
Senior UX Designer, Thomson Reuters

“Ed is one of the most creative, out-of-box thinkers I know and brought much inspiration to our team. He carries with him a contagious positive energy that knit our team together.”

Esther Jeong
Senior UX Design Researcher, 3M

“He brought so much to the table on both our research & strategy team and broader business & design team. Ed has a distinct point of view paired with an open mind. He will listen to you fully, but then surprise you with connecting dots that you had never considered yourself.”

Miranda Lapour
Senior UX Strategist & Designer, 3M

“Ed’s strategy and research work is creative, collaborative, and thorough.

Creative - I could also always count on Ed to spark a new idea. He’s the person to call if you need inspiration when designing a research study.

Collaborative - Ed consistently did his due diligence to get everyone onboard. I was very impressed by his cross-functional collaboration. He went above and beyond with clear communication.

Thorough - Ed was extremely thorough in research preparation and communicating results. Ask him to walk you through a findings deck and you will see what I mean. Ed’s background in education is apparent as he coaches stakeholders through the design process.”

Jalen Even
Lead Product Researcher, 3M

“Ed is one of those people who you instantly feel comfortable around and who makes you feel like you're the most important person he's ever talked to. He is so kind, understanding, and full of radiant energy.”

Robin Savela
Lead Design Researcher, Thomson Reuters