ChefPro

Created a learning dashboard for chefs to improve their skills within 3 days.

Tools Used
  • Figma
  • ChatGPT
  • Codex
  • GitHub
  • Vercel
View Prototype
ChefPro learning dashboard displayed on a laptop

Introduction

ChefPro is a concept learning dashboard for professional chefs, combining mentor discovery, technique lessons and progress tracking in one place. The product was designed end to end in three days, from research and personas through information architecture, user flows and the final interface.

The Challenge

ChefPro began as a three-day concept sprint. Before moving into design, I defined the core challenge and identified the two chef audiences the product needed to support.

Context

The Goal

Helping chefs at different skill levels discover, learn, and track professional cooking skills through a clear, guided dashboard experience.

Target Users

  1. Beginner chefs who want to improve but don't know where to start.
  2. More experienced chefs who want to learn advanced techniques and deepen their skills.

User Personas

These proto personas were based on desk research and early assumptions about culinary students and working chefs. They helped guide the three day concept sprint.

Larry Levy, culinary student

Larry Levy

Culinary Student

London

22 years old

Goals

  • Learn professional cooking fundamentals.
  • Follow basic techniques step by step.
  • Build confidence with expert guidance.

Frustrations

  • Doesn't know which skills to prioritize.
  • Random content offers no clear learning path.
  • Cannot see whether his skills are improving.

Needs

  • A guided path with clear next steps.
  • Structured lessons from professional chefs.
  • Visible progress from beginner to intermediate.

Product implication

  • Searches for individual recipes but struggles to decide what skill to learn next.
  • Provide beginner-focused recommendations, guided progression, and visible progress.
Sofia Martinez, sous chef

Sofia Martinez

Sous Chef

Barcelona

29 years old

Goals

  • Learn advanced techniques from leading chefs.
  • Improve specialist skills such as plating and sauces.
  • Grow toward senior kitchen roles.

Frustrations

  • Generic content rarely matches her level.
  • Finding relevant expert content takes too long.
  • Progress and weak areas are difficult to measure.

Needs

  • Advanced content and expert instruction.
  • Recommendations based on her current skills.
  • Analytics that show strengths and skill gaps.

Product implication

  • Looks for specific advanced techniques rather than broad introductory courses.
  • Prioritize level-aware recommendations, expert content, and skill analytics.

Research Goal

The main research question was:

“How can the product help chefs discover relevant learning content, understand what to learn next, and track their professional development in one place?”

The process included lightweight desk research, competitor analysis, feature prioritization and exploration of existing culinary learning platforms.

Research

The research focused on understanding how chefs improve their professional skills, what makes learning difficult, and how ChefPro could make the process more focused and easier to continue.

Competitive Research

Competitive Research
CompetitorMain StrengthOpportunity for ChefPro
ChefStepsStrong focus on cooking techniques, detailed recipes, and educational culinary content.Connect learning content more directly to personal goals, mentor discovery, and skill progression.
ScoolinaryStructured culinary courses taught by professional chefs across multiple specialties.Create a more personalized dashboard experience that combines chefs, learning content, events, and progress.
Serious EatsLarge collection of recipes, techniques, and educational food content.Provide a more structured professional-development experience instead of mainly supporting content discovery and reference.

Research insights that shaped the design

  • ChefPro should help users understand what to learn next instead of presenting a large library without direction.
  • Organizing techniques, recipes, and events around individual chefs creates a clearer and more engaging learning experience.
  • The dashboard recommends chefs and content based on skills, interests, goals, and recent activity.
  • Career goals, skill development, and learning activity give users feedback and encourage them to continue improving.
  • Recommended chefs, Continue Learning, and progress analytics were prioritized over secondary features.

Main Opportunity

  1. Discover Chef
  2. Choose Content
  3. Learn
  4. Track Progress
  5. Continue Improving

The Solution

  1. Guided learning dashboard

    A platform that helps chefs discover mentors, techniques, and recipes in one place, with personalized guidance for both beginners and advanced users.

  2. Smart skill development & progress tracking

    An interactive system that combines learning and analytics, allowing users to start lessons, track progress, and improve consistently.

Structure & Flow

The prioritised features were mapped into a site structure, then walked through as one scenario: a chef arriving with a goal and leaving with a lesson.

Features Evaluation

14opportunities mapped
7high priority
9on the homepage
5feature themes
GUIDED PATHHIGH PRIORITY

Beginners had no idea where to start

Nothing sequenced the journey, and top tier expertise felt out of reach.

  • Personalized chef recommendations
  • Guided chef → technique → lesson flow
  • Michelin-level chefs & expert content
PROGRESS & FEEDBACKHIGH PRIORITY

No way to see yourself improving

Learning had no memory and no measure, so motivation had nothing to hold onto.

  • Career goal progress
  • Skill bars & radar
  • Continue Learning
  • Progress indicators
FINDING CONTENTHIGH PRIORITY

Relevant content was hard to surface

Browsing didn't adapt to skill level, and there was no way to narrow the library.

  • Chef cards with tabs
  • Level-based personalization
  • Filtering & search
SAVING & RETURNINGMEDIUM PRIORITY

Anything good was lost on exit

There was no central place to keep content, and no trail back to what was already seen.

  • My Collection
  • Recently Viewed
REAL WORLD PRACTICEMEDIUM PRIORITY

Learning stayed theoretical

Nothing connected the lessons to real kitchens or the chefs teaching them.

  • Technique lessons from real chefs
  • Events & masterclasses

Information Architecture

User Flow

I chose this scenario to highlight a key moment where a chef enters the platform with a desire to improve but lacks clear direction.

Design Evolution

From mid fidelity wireframes through the color and type system to the final high fidelity interface.

Mid-Fidelity Wireframes

Design System

Typography

Red = passion, appetite, action | Cream = calm, clean, culinary base | Green = progress, growth, success

High-Fidelity Wireframe

Reflection

The biggest challenge was balancing a professional system with a focused 3 day scope. I chose to prioritize one strong learning loop instead of expanding the product with many secondary features.

  1. Core flow

    Connected finding a chef, opening their profile, choosing a technique, and starting a lesson into one clear dashboard journey.

  2. Still to validate

    Test whether recommendations, progress analytics, and navigation are clear to beginners and experienced chefs.

  3. Priority test tasks

    Test whether users can find a relevant chef, start or resume a lesson, save a recipe, and understand their current progress.

  4. Next iteration

    Use testing findings to clarify recommendations and progress analytics, then remove unnecessary complexity from the chef profile modal.