01. Overview

What is Grow? Grow is an employee growth platform built to help people develop professionally - in the field they work in today and in adjacent areas they want to move toward. It gives employees the tools and structure to take ownership of their own development, at their own pace. This case study focuses on the learning feature: the part of Grow where employees build personalized learning sessions around any topic they choose.

My role: I led end-to-end product design - from concept and competitive research through prototyping and final UI.

02. The problem

High-tech employees are motivated to grow, but the tools available rarely keep up. Generic e-learning platforms aren't built for the pace or specificity of tech roles, and internal L&D programs often feel disconnected from what people actually need day-to-day.

Employees want ownership over their growth - they just lack a structured, low-friction way to act on it. Content is too broad, not tailored to role or experience level, and there's no easy way to explore related disciplines without starting from scratch.

03. Competitive landscape

I audited three major L&D platforms to understand what already existed and where there was room to do something different.

04. How it works

After interviewing employees across roles including developers, PMs, and designers, we mapped out the core user flow. The user types a topic or picks from AI-suggested options, and the system automatically builds a personalized pre-session based on what it already knows about them. The learning session is then created - and the user can chat to adjust any part of it at any point.

05. Wireframes and design decisions

Early concepts explored filters and recommended paths, but the friction of choosing before knowing made it feel like work before the learning even started. A free-text input - "I want to learn..." - removed that barrier entirely. The AI handles the structure; the user just expresses intent.

How to start a learning session

The early version asked users to pick a category and set filters before anything was generated - decisions most people couldn't answer before seeing any content. The final version replaces all of that with one open question, letting users say what they want in their own words, with AI suggestions to help when they're unsure where to start.

Adjusting the path mid-session

The early version relied on a traditional settings panel, where everything had to be configured upfront. In the final version, that flow was replaced with a conversational chat interface. Instead of predefined decisions, users can naturally request changes in real time, making the experience feel less like a settings menu and more like an adaptive learning tool.

06. Final design

The visual design is intentionally minimal - light backgrounds, dark typography, and a single restrained accent color. The interface was designed to stay quiet and distraction-free, allowing the content itself to remain the focus. In a learning environment, the UI shouldn't compete for attention.

Most importantly, the product needed to feel professional and purposeful - a tool built for people who take their work seriously. Clean, focused, and thoughtful, without feeling overly playful or visually noisy.

07. Solution & results

The final product lets employees create learning segments on any topic - role-specific skills, cross-functional knowledge, or anything in between. The AI structures the content into digestible units, adapts to the user's context, and surfaces relevant material without requiring manual curation.

In prototype testing, participants across multiple roles responded strongly to the sense of agency the product gave them. The ability to define their own learning agenda - rather than follow a prescribed curriculum - was consistently cited as the standout differentiator.

01. Overview

Employee Goals is a feature within Grow that allows managers and mentors to set professional development goals for their employees. These goals are tied to growth within the organization, organized by skill area, and tracked over time.

My role: I led end-to-end product design - from research and information architecture through prototyping and final UI.

02. The problem

In most organizations, goals are set top-down and then left without a clear home. Managers assign them through performance reviews or one-on-ones, but employees have no dedicated space to track them day-to-day and no visibility into how those goals connect to their broader growth in the organization.

Employees want to know where they stand - they just have no structured place to see it.

• Assigned goals end up buried in documents or HR systems employees rarely open
• Employees have no clear picture of which goals need attention and which are on track
• Requesting a new goal is informal and unstructured, with no process and no visibility into whether it was received
• There's no way to see how individual goals relate to each other or to larger skill areas

03. Competitive landscape

I looked at three performance management platforms to understand how goal tracking is typically handled - and where employees are left behind.

04. How it works

I ran interviews with employees across seniority levels to understand how they currently track goals - most described a mix of spreadsheets, Notion docs, and memory. From there I moved into information architecture and wireframes, focusing on how to surface the right goals at the right time without overwhelming the view.

05. Wireframes and design decisions

How goals are organized

The accordion felt like every other goal tracker - dry, functional, and not personal. One subject at a time, no full picture. The map view puts the employee at the center, all subjects visible at once. The spread is clear and intuitive.

Requesting a new goal

A blank input sounds simple, but it puts all the work on the user. Most people don't know how to articulate a learning goal when they're just starting to think about it.

My first instinct was to keep it as minimal as possible - just a text field. I was actually hesitant to add suggestion chips at all, worried they'd create a paradox of choice: too many options on a screen that was supposed to feel open and low-pressure.

But usability testing pushed back on that. When the input was completely bare, a lot of users just stopped. They'd look at it, pause, and not move forward - not because they didn't want to, but because they didn't know where to start. The chips didn't overwhelm them. They gave them something to react to, and that was enough. The input stopped feeling like a blank exam and started feeling like a conversation.

06. Final design

07. Solution & results

The final design gives employees a clear, ongoing view of all goals assigned to them, organized by skill area, accessible in both map and list formats, and surfaced with a panel that highlights what needs attention. The employee is the one responsible for driving progress, and the interface reflects that: everything is oriented around action and accountability.

The goal request flow gives employees a formal channel to propose new goals, with the understanding that the final call belongs to their manager or mentor. In usability testing, this distinction felt natural. Participants said it gave them a sense of agency without undermining the structure they expected from their organization.

01. Overview

Blaze is a sports brand built around an active sport lifestyle. They sell gear, apparel, and equipment for serious athletes. As a natural extension of that mission, we were asked to design a calorie and hydration tracking feature inside the existing Blaze app, giving users a simple way to monitor their nutrition alongside their training. The feature gives users a place to log meals, track calories and macros, and stay on top of their water intake - all inside the Blaze app, alongside the goals they're already working toward.

My role: I designed the full mobile experience - the daily dashboard, the meal logging flow, the water tracking screen, and the loading states.

02. Competitive landscape

I reviewed three leading nutrition apps to understand the space - and identify where they fell short for performance-focused users.

03. How it works

Everything starts and ends at the daily dashboard - calories consumed out of your goal. From there, two paths: add a new item by choosing the meal type, describing what you ate, and seeing the log and nutritional breakdown; or open an existing meal to edit it and get the same breakdown. Both loop back to the dashboard so the calorie total is always up to date.

05. Final design