Using AI to Turn Workforce Data into Executive-Ready Presentations

HR teams had access to valuable workforce insights but spent hours manually transforming data into presentations. I designed an AI-powered workflow that helped users quickly generate, refine, and share executive-ready presentations while keeping them in control of the final story.

Overview

Role

Lead Product Designer (sole designer)

Duration

~ 1 month

Team

2 Product Owners, Engineering Team

My Responsibilities

Product strategy, UX/UI design, AI interaction patterns, prototyping, usability testing, developer collaboration

Outcome

Designed and shipped an AI-powered presentation builder that transformed complex HR data into editable executive presentations

The Problem

Turning data into a story was the hardest part

HR teams had access to valuable workforce data, but transforming that information into meaningful presentations required hours of manual work. Users had to interpret data, decide what insights mattered, build slides, and format presentations before sharing with executives.

The opportunity wasn't simply generating slides faster. It was helping users go from raw data → meaningful story with confidence.

Understanding the Challenge

When designing with AI, the biggest question wasn't: "How do we generate content?"

It was: "How do we help users trust and improve what AI creates?"

AI could accelerate the first draft, but users still needed control over the narrative, accuracy, and final presentation. This became the foundation for the product experience.

My Role

I was the sole Product Designer responsible for defining the end-to-end experience, from early concepts through final implementation.

I partnered with Product and Engineering to determine how AI could support users throughout the presentation workflow while creating an experience that felt intuitive, flexible, and trustworthy.

Key Decision #1

Treat AI as a collaborator, not a replacement

Early concepts focused on fully automated presentation generation. Through exploration, we learned users didn't want AI to make every decision—they wanted a starting point they could shape.

I designed the experience around collaboration:

1. AI created the initial draft.

2. Users refined the story.

3. The final presentation remained theirs.

Key Decision #2

Give users control over AI output

A major challenge with AI products is uncertainty.

Users need to understand:

  • Where did this content come from?
  • Can I change it?
  • What happens if I don't like it?

I designed flexible editing patterns that allowed users to regenerate sections, modify content, and adjust slides without losing their previous work. This created a balance between automation and user control.

Key Decision #3

Simplify a complex workflow

Creating an executive presentation required several disconnected tasks: analyzing data, selecting insights, designing slides, and formatting content. I designed a guided workflow that reduced cognitive load by helping users move through each step naturally. Instead of starting with a blank canvas, users started with meaningful insights and transformed them into a polished presentation.

Final Solution

An AI-powered presentation workflow built around human judgment

The final experience combined AI acceleration with human decision-making. Users could quickly generate a presentation, refine individual sections, customize content, and confidently share the final result with executives.

Generate

Users start with workforce data and AI creates an initial presentation draft.

Refine

Users can edit, regenerate, and customize individual sections while maintaining control over the final story.

Present

A polished executive-ready presentation is created without the hours of manual formatting previously required.

Impact

This project demonstrated that successful AI experiences aren't about replacing human decision-making—they're about amplifying it.

By designing AI as a collaborative partner, we created an experience that helped HR teams move faster while maintaining confidence and control over their work.

Reflection

Designing AI products requires balancing two competing needs: Efficiency and trust.

The best AI experiences don't remove users from the process. They give users a stronger starting point while preserving the creativity, judgment, and expertise that make the work valuable.