Presenting a UX Proposal to an Engineering Team, and Defending an AI-Built Prototype

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Quick Overview

A project deep-dive question: on a team of engineers and one UI designer, how would you present a user-experience proposal, and was an interface you built with AI design tools a working prototype or only a visual concept? Tests prototyping judgment, cross-functional communication and honesty about AI-assisted work.

Presenting a UX Proposal to an Engineering Team, and Defending an AI-Built Prototype

Company: Microsoft

Role: Machine Learning Engineer

Category: Behavioral & Leadership

Difficulty: hard

Interview Round: Technical Screen

You are an engineer on a team made up of engineers plus one UI designer. In a project deep dive, the interviewer sets up a scenario: if you were asked to put forward a user-experience proposal for a feature, in what form would you present it? The interviewer came back to this question twice more in different words, then probed a past project of yours. For that probe, assume your background includes a project in which you used AI design tools to generate interface screens. ### Clarifying Questions - Who will review the proposal: the engineers who will build it, the designer, a product owner, or someone who decides whether the work is funded? Each needs something different from the artifact. - Is the proposal a new user flow or a change to an existing one, and is there user feedback or usage data to start from? - What should the review produce: agreement on a direction, detailed feedback, or a specification engineering can build from? - What does the UI designer own on this team: the visual language only, or the interaction design as well? - How much time is there before the proposal must be reviewed? ### Part 1 — Presenting a UX proposal How would you present a user-experience proposal to this team, and why that form rather than another? Walk through how you would build the artifact and how you would run the review. ```hint Let them experience the flow Ask what an audience of engineers and a designer can judge from a set of still screens, and what they can only judge by moving through the flow themselves. ``` ```hint Match the effort to the question Think about which open questions a cheap artifact can settle and which ones need something that actually runs. ``` #### What This Part Should Cover - The choice of artifact and its fidelity, justified by what the audience must evaluate - The order in which the artifact is built, and why - How the review is run: what is shown, which decisions are explained, and how feedback is gathered and acted on - How the engineer's contribution fits alongside the designer's ### Part 2 — Working prototype or visual concept? The interviewer probes your AI-assisted project: "The interface you generated with AI design tools: was it a genuinely usable prototype, or only a visual design?" Answer the question, and explain how the result was produced. ```hint Draw the line Be ready to say which pieces a tool produced, which decisions and changes were yours, and what someone could actually do with the result. ``` #### What This Part Should Cover - A direct, honest answer to the question that was asked - The steps from design direction to the finished artifact, keeping the tool's output and your own work apart - Evidence that the result runs and can be reviewed, not just looked at ### What a Strong Answer Covers - Settles the audience and the decision the proposal must drive before choosing its form - Justifies the fidelity of each artifact by the questions it must answer, and names what a cheaper artifact would miss - Presents a user journey and the key design decisions with their alternatives, not a gallery of screens - Keeps the same conclusion when the question is asked again in other words, adding a new angle each time instead of repeating the same sentences - Separates clearly what an AI tool generated from what the candidate judged, changed and is accountable for - Shows how feedback from the designer and the team changes the proposal ### Follow-up Questions - The designer disagrees with the flow your prototype proposes. How do you settle it without the prototype turning into a contest over who owns the design? - When does a clickable prototype stop being enough, so that you build a functional prototype instead? What does the functional one cost you? - How would you check the proposal with real users before engineering commits to building it? - How do you keep AI-generated screens from looking generic and inconsistent with the rest of the product?

Overview: A project deep-dive question: on a team of engineers and one UI designer, how would you present a user-experience proposal, and was an interface you built with AI design tools a working prototype or only a visual concept? Tests prototyping judgment, cross-functional communication and honesty about AI-assisted work.

Read the full Microsoft Machine Learning Engineer interview experience this question came from

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Microsoft
Oct 23, 2026
hardMachine Learning EngineerTechnical ScreenBehavioral & Leadership
0
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You are an engineer on a team made up of engineers plus one UI designer. In a project deep dive, the interviewer sets up a scenario: if you were asked to put forward a user-experience proposal for a feature, in what form would you present it? The interviewer came back to this question twice more in different words, then probed a past project of yours. For that probe, assume your background includes a project in which you used AI design tools to generate interface screens.

Clarifying Questions Guidance

  • Who will review the proposal: the engineers who will build it, the designer, a product owner, or someone who decides whether the work is funded? Each needs something different from the artifact.
  • Is the proposal a new user flow or a change to an existing one, and is there user feedback or usage data to start from?
  • What should the review produce: agreement on a direction, detailed feedback, or a specification engineering can build from?
  • What does the UI designer own on this team: the visual language only, or the interaction design as well?
  • How much time is there before the proposal must be reviewed?

Part 1 — Presenting a UX proposal

How would you present a user-experience proposal to this team, and why that form rather than another? Walk through how you would build the artifact and how you would run the review.

What This Part Should Cover Guidance

  • The choice of artifact and its fidelity, justified by what the audience must evaluate
  • The order in which the artifact is built, and why
  • How the review is run: what is shown, which decisions are explained, and how feedback is gathered and acted on
  • How the engineer's contribution fits alongside the designer's

Part 2 — Working prototype or visual concept?

The interviewer probes your AI-assisted project: "The interface you generated with AI design tools: was it a genuinely usable prototype, or only a visual design?" Answer the question, and explain how the result was produced.

What This Part Should Cover Guidance

  • A direct, honest answer to the question that was asked
  • The steps from design direction to the finished artifact, keeping the tool's output and your own work apart
  • Evidence that the result runs and can be reviewed, not just looked at

What a Strong Answer Covers Guidance

  • Settles the audience and the decision the proposal must drive before choosing its form
  • Justifies the fidelity of each artifact by the questions it must answer, and names what a cheaper artifact would miss
  • Presents a user journey and the key design decisions with their alternatives, not a gallery of screens
  • Keeps the same conclusion when the question is asked again in other words, adding a new angle each time instead of repeating the same sentences
  • Separates clearly what an AI tool generated from what the candidate judged, changed and is accountable for
  • Shows how feedback from the designer and the team changes the proposal

Follow-up Questions Guidance

  • The designer disagrees with the flow your prototype proposes. How do you settle it without the prototype turning into a contest over who owns the design?
  • When does a clickable prototype stop being enough, so that you build a functional prototype instead? What does the functional one cost you?
  • How would you check the proposal with real users before engineering commits to building it?
  • How do you keep AI-generated screens from looking generic and inconsistent with the rest of the product?