![](data:image/svg+xml,<svg display="block" role="presentation" viewBox="0 0 108 29" xmlns="http://www.w3.org/2000/svg"><path d="M 14.85 27.131 C 13.226 27.414 11.572 27.499 9.862 27.726 L 4.646 12.546 L 4.646 28.377 C 3.021 28.547 1.539 28.773 0 29 L 0 0 L 4.333 0 L 10.261 16.454 L 10.261 0 L 14.85 0 Z M 23.829 10.62 C 25.596 10.62 28.304 10.535 29.929 10.535 L 29.929 15.066 C 27.905 15.066 25.539 15.066 23.829 15.151 L 23.829 21.892 C 26.508 21.722 29.188 21.495 31.895 21.41 L 31.895 25.771 L 19.268 26.763 L 19.268 0 L 31.895 0 L 31.895 4.531 L 23.829 4.531 Z M 48.855 4.531 L 44.123 4.531 L 44.123 25.375 C 42.584 25.375 41.045 25.375 39.563 25.432 L 39.563 4.531 L 34.832 4.531 L 34.832 0 L 48.855 0 Z M 56.266 10.309 L 62.508 10.309 L 62.508 14.84 L 56.266 14.84 L 56.266 25.12 L 51.791 25.12 L 51.791 0 L 64.532 0 L 64.532 4.531 L 56.266 4.531 Z M 71.943 21.155 C 74.537 21.212 77.159 21.41 79.696 21.552 L 79.696 26.026 C 75.62 25.771 71.544 25.517 67.382 25.432 L 67.382 0 L 71.943 0 Z M 83.544 26.338 C 84.997 26.423 86.537 26.508 88.019 26.678 L 88.019 0 L 83.544 0 Z M 108 0 L 102.214 13.792 L 108 29 C 106.29 28.773 104.579 28.462 102.869 28.179 L 99.591 19.796 L 96.257 27.499 C 94.603 27.216 93.007 27.131 91.354 26.904 L 97.226 13.622 L 91.924 0 L 96.826 0 L 99.819 7.618 L 103.012 0 Z" fill="rgb(216, 31, 38)" height="29px" id="bXox46a9X" width="107.99999713627835px"/></svg>)
Crafting an AI powered internal tool, making customer experiences visible
Crafting an AI powered internal tool, making customer experiences visible
Crafting an AI powered internal tool, making customer experiences visible
OVERVIEW
Exposing Experiences
Eon: A 0→1 internal tool for Netflix, making hundreds of commerce flows visible and searchable. I was a solo, lead product designer, taking the product from concept to MVP; from strategy to production design in codebase.
OVERVIEW
Exposing Experiences
Eon: A 0→1 internal tool for Netflix, making hundreds of commerce flows visible and searchable. I was a solo, lead product designer, taking the product from concept to MVP; from strategy to production design in codebase.
OVERVIEW
Exposing Experiences
Eon: A 0→1 internal tool for Netflix, making hundreds of commerce flows visible and searchable. I was a solo, lead product designer, taking the product from concept to MVP; from strategy to production design in codebase.
OVERVIEW
Exposing Experiences
Eon: A 0→1 internal tool for Netflix, making hundreds of commerce flows visible and searchable. I was a solo, lead product designer, taking the product from concept to MVP; from strategy to production design in codebase.
PROBLEM
FLOW OBSERVABILITY
At Netflix, happy paths aren’t real. Every combination of member state, platform, locale, and experiments produces a different journey. Before Eon, the only way to know what a given customer actually experienced was to run custom scripts, which was a huge bottleneck.
PROBLEM
FLOW OBSERVABILITY
At Netflix, happy paths aren’t real. Every combination of member state, platform, locale, and experiments produces a different journey. Before Eon, the only way to know what a given customer actually experienced was to run custom scripts, which was a huge bottleneck.
PROBLEM
FLOW OBSERVABILITY
At Netflix, happy paths aren’t real. Every combination of member state, platform, locale, and experiments produces a different journey. Before Eon, the only way to know what a given customer actually experienced was to run custom scripts, which was a huge bottleneck.
The Process
Handling Ambiguity
It all starts with the users. I ran generative interviews with 20+ stakeholders across five teams, which gave me validated evidence to shape what the product should and shouldn’t be.
Listening to Signals
I mapped each team’s workflow end to end, then looked for the signal: pain points that appeared across every group. Those shared gaps became the strategic filter for every design decision.
Strategic Alignment
I turned those insights into a product strategy doc that scoped the MVP and got all stakeholders aligned. I was able to replace assumptions about user needs with validated evidence.
The Process
Handling Ambiguity
It all starts with the users. I ran generative interviews with 20+ stakeholders across five teams, which gave me validated evidence to shape what the product should and shouldn’t be.
Listening to Signals
I mapped each team’s workflow end to end, then looked for the signal: pain points that appeared across every group. Those shared gaps became the strategic filter for every design decision.
Strategic Alignment
I turned those insights into a product strategy doc that scoped the MVP and got all stakeholders aligned. I was able to replace assumptions about user needs with validated evidence.
The Process
Handling Ambiguity
It all starts with the users. I ran generative interviews with 20+ stakeholders across five teams, which gave me validated evidence to shape what the product should and shouldn’t be.
Listening to Signals
I mapped each team’s workflow end to end, then looked for the signal: pain points that appeared across every group. Those shared gaps became the strategic filter for every design decision.
Strategic Alignment
I turned those insights into a product strategy doc that scoped the MVP and got all stakeholders aligned. I was able to replace assumptions about user needs with validated evidence.
HIGH FIDELITY
FROM DOC TO DESIGN
After weeks of research and a product strategy doc, v1 is the payoff. Abstract decisions become real screens — something stakeholders can finally react to, and something users can actually test.
HIGH FIDELITY
FROM DOC TO DESIGN
After weeks of research and a product strategy doc, v1 is the payoff. Abstract decisions become real screens — something stakeholders can finally react to, and something users can actually test.
HIGH FIDELITY
FROM DOC TO DESIGN
After weeks of research and a product strategy doc, v1 is the payoff. Abstract decisions become real screens — something stakeholders can finally react to, and something users can actually test.
USABILITY STUDIES
ALWAYS BE VALIDATING
Task-based sessions with designers and PMs from the Netflix Growth org. Users kept reaching for the read-only metadata — changing values, waiting for flows to update. No label fixes a false affordance. The IA had to change.
USABILITY STUDIES
ALWAYS BE VALIDATING
Task-based sessions with designers and PMs from the Netflix Growth org. Users kept reaching for the read-only metadata — changing values, waiting for flows to update. No label fixes a false affordance. The IA had to change.
USABILITY STUDIES
ALWAYS BE VALIDATING
Task-based sessions with designers and PMs from the Netflix Growth org. Users kept reaching for the read-only metadata — changing values, waiting for flows to update. No label fixes a false affordance. The IA had to change.
Future state
Before leaving Netflix, I designed four concept explorations as a north star for the team — showing how Eon could evolve from documentation to intelligence: flow health, dependency mapping, funnel analytics, and no-code copy editing.
Contact
Copyright © 2025 Jesse Bones. All Rights Reserved.
All content, designs, and images on this website are the property of Jesse Bones and respective clients. Unauthorized use, reproduction, or distribution of any materials without explicit permission is prohibited.
Contact
Copyright © 2025 Jesse Bones. All Rights Reserved.
All content, designs, and images on this website are the property of Jesse Bones and respective clients. Unauthorized use, reproduction, or distribution of any materials without explicit permission is prohibited.
Contact
Copyright © 2025 Jesse Bones. All Rights Reserved.
All content, designs, and images on this website are the property of Jesse Bones and respective clients. Unauthorized use, reproduction, or distribution of any materials without explicit permission is prohibited.