CASE STUDY
NutriAI
AI Nutrition Coach for Sustainable Weight Goals
Concept product exploring how AI can simplify calorie tracking, meal planning, and habit coaching.
AI PRODUCT MANAGEMENT
AI PRODUCT MANAGEMENT
APP MOCKUP
Timeline
2 Weeks
Focus
AI Product Concept
Audience
Busy Adults
Outcome
MVP Strategy
Most nutrition apps track data, but don’t coach behavior.
THE OPPORTUNITY
Users struggle with consistency, meal planning, and knowing what to eat. Existing apps feel manual, overwhelming, or unsustainable.
PROBLEM DISCOVERY
Understanding Why Nutrition
Apps Fail Users
Manual calorie logging
is tedious
Most nutrition apps rely on constant input: searching foods, estimating portions, and logging every meal. The process quickly becomes repetitive and easy to abandon.
Generic meal plans don’t fit lifestyles
Many meal plans ignore personal routines, budgets, dietary needs, and cultural preferences. When advice feels unrealistic or rigid, users struggle to stay consistent.
Users lose motivation when progress stalls
When results slow down, many users lose momentum. Without encouragement, progress insights, or adaptive guidance, healthy habits are harder to maintain.
PRODUCT VISION
A Nutrition App that feels like a Coach
NutriAI helps users make better daily decision through personalised calorie guidance, adaptive plans and motivational support.
TARGET USERS
Built for real people, with real goals.
CORE FEATURES
Everything you need powered by AI.
NutriAI combines intelligent technology with personalised guidance to help you eat better, stay consistent and reach your goals.
TIMELINE EVOLUTION
MVP Features + Future Expansion
WIREFRAMES
Prototype Showcase
The prototype explores the core user experience across key features in the product, from daily tracking to progress review, balancing functionality with ease of use.
PRODUCT STATS
Metrics That Matter
Some of the key metrics that I look into to evaluate the performance of an app and plan optimisations and next steps.
Top KPIs
Activation
76%
↑ 9%
Weekly Active Users (WAU)
8,400
↑ 11%
30-Day Retention
38%
↑ 5%
Funnel Conversion
Sign Up
86%
Completed Onboarding
74%
Logged First Meal
62%
Engagement Metrics
Meals Logged per User
4.7
/ week
Weekly Check-in Completion
52%
↑ 5%
Avg Session Frequency
3.8
sessions / week
RESPONSIBLE AI
Designing for trust, safety, and long-term user wellbeing
Natalia Peláez Medina
Project Manager / Product Strategy
As an independent PM case study, I focused on:
- Identifying user pain points
- Defining product opportunity
- Scoping MVP features
- Prioritising roadmap phases
- Designing user journeys
- Exploring responsible AI considerations
- Identifying risks
MY ROLE
Defining the Product
from Problem to MVP
LESSONS
What I've Learned
Building NutriAI reinforced how successful AI products combine intelligence with design crafted by behaviour. The challenge is not just another app download, it’s helping users sustain their desired action.