Portfolio/FoodMindful

Food Tech  ·  Product Management  ·  User Research

FoodMindful

From Grocery Receipts to Zero Waste

Role

Product Manager

Team

6-person cross-functional squad

Context

NC State InnoLab x Raleigh Founded

Outcome

People's Choice Award, Demo Day

Audience Favorites award

Recognition

Audience Favorites: earning the most mock investor dollars

NC State InnoLab Demo Day in partnership with Raleigh Founded It, competing against all teams in the cohort.

The Problem

Why food waste keeps happening even when people try

Existing tools like Mealime, PlateJoy, and MyFitnessPal address meal planning, but none of them solve why people actually waste food. They add more to manage, not less.

$728

wasted per person annually on uneaten food

10 hrs

spent managing meals and groceries every week

77%

say choosing what to cook is the hardest part

The real question was not “how do we help people plan meals better?” It was: why does food waste keep happening even when people try?

Research

We did not start with assumptions. We went outside.

I led end-to-end product discovery across three research tracks.

17+

User Interviews

Outside Whole Foods & Harris Teeter, Raleigh NC

70+

Survey Responses

Working professionals, couples, students, parents

3+

Expert Consultations

Food policy, waste research, agricultural economics

What the surveys told us

73%work full time
56%throw out 1-2 items per week
74%want recipes based on what they already have
92%say cost is a major factor in meal planning
“A major driver of food waste in the US is overbuying during infrequent grocery trips. It is a behavioral pattern, not an awareness gap.”Food waste researcher, NC State

The Insight

It was not an awareness problem. It was decision fatigue.

Going into research, we assumed the problem was awareness. The data told us something different. Busy working professionals were ordering takeout daily not because they wanted to spend money, but because choosing what to cook after a long day felt harder than just ordering out.

Our assumption

People waste food because they lack awareness.

What we found

People waste food because they lack decisions.

This reframed the entire product. We were not building a meal planning app. We were building a decision elimination tool.

Primary ICP

Working professionals without kids

Ages 25-40, urban, time-constrained, tech-savvy, high decision fatigue around meals.

Secondary ICP

Young urban couples

Dual income, city-living, shared meal decision fatigue.

Concept Selection

Five concepts evaluated. One clear winner.

Scored against user effort, feasibility, time-to-value, and adoption likelihood.

Receipt Scanning + AI Recipes4.77/5
Hybrid (Receipt + Manual)3.97/5
Pantry Camera + Expiry Tracking3.32/5
Behavioral Psychology + Waste Logging2.66/5
Manual Entry + Meal Planning2.64/5

Receipt Scanning + AI won decisively. Eliminate manual entry entirely and you remove the single biggest barrier to consistent app use.

The Product

Scan. Plan. Cook. Save.

Four steps designed so the right decision is always the effortless one.

01

Scan

Photograph your grocery receipt. Google Vision OCR extracts items, prices, and quantities instantly. No typing, no setup.

02

Plan

USDA FoodKeeper assigns expiry dates to 650+ food items. ChatGPT-4 + Spoonacular surface recipes that use what is closest to expiring first.

03

Cook

Filtered by dietary preferences, cook time, and what is in your fridge. Tap cooked and inventory updates automatically.

04

Save

A dashboard tracks real dollar savings in plain language: $22 saved this week. Streaks and challenges build the habit.

Technology Stack

Built to eliminate friction at every layer

Receipt CaptureGoogle Vision OCRInstant extraction of items, prices, and quantities
Food DatabaseUSDA FoodKeeper650+ foods with auto-matched expiration data
InventoryPostgreSQLReal-time tracking of quantities, dates, and costs
AI EngineChatGPT-4 + Spoonacular APIPersonalized recipes prioritized by expiry
PrototypeAI-assisted developmentFull frontend prototype built using AI tools
IP ClearanceConfirmed FTOReceipt-based approach differentiates from existing meal planning patents

Competitive Positioning

The only product that checks every box

We mapped FoodMindful against five competitors across four dimensions. FoodMindful was the only product that fulfilled all four.

ProductLow Manual EntryGamifiedAdaptive AIWaste Focus
FoodMindful
MyFitnessPal----
Mealime---
NoWaste---
eMeals---

Business Model

Freemium with behavioral upgrade triggers

Free

$0

Limited meal plans, in-app ads

Premium

$4.99/mo

Unlimited plans, no ads, full analytics + 1 month free for referrals

Revenue Projections

Year 1
$16K~80 users
Year 3
$368K~2,400 users
Year 4
$1.84M~12,000 users

Break-even projected at Year 4 with $203K net profit.

Go-To-Market

Four phases from zero to retained

01

Acquire

Micro-influencers (50K-100K followers), paid social targeting SF, Raleigh, Austin, and major US metros, plus App Store optimization.

02

Activate

First meal plan in under 5 minutes. Expiring-item alerts on Day 3. Auto-inventory sync after every receipt scan. Weekly savings summaries.

03

Convert

30-day full-feature trial. Upgrade prompt at scan limit. Social proof showing $875-$1,165 in projected annual savings.

04

Retain

Adaptive AI that learns preferences. Shared couple accounts. Seasonal recipe packs. Streaks and achievements.

What I Owned

End-to-end ownership across research, strategy, and delivery

  • +Led all user research across 17+ interviews, 70+ survey responses, and 3 expert consultations
  • +Identified decision fatigue as the root cause of food waste, reframing the entire product direction
  • +Defined primary ICP through behavioral analysis, not just demographic segmentation
  • +Drove concept selection, evaluating five approaches against structured criteria
  • +Authored technical PRDs covering receipt scanning logic, inventory tracking, AI recommendation engine, and gamification mechanics
  • +Translated 40+ user pain points into specific product features with clear design criteria
  • +Managed a six-person Agile squad through weekly sprints and backlog grooming
  • +Prototyped the full frontend using AI-assisted development tools
  • +Presented at NC State InnoLab Demo Day in partnership with Raleigh Founded It

Key Learnings

The most important lesson was not technical.

The best product insight came not from survey data but from standing outside a grocery store and asking people why they throw food away. The answer was never “I don't care.” It was always some version of “I ran out of time” or “I could not decide.”

“A product that removes the decision entirely, rather than asking the user to make better decisions, is fundamentally different from everything else in the market. That is the insight that won.”

Want to talk product?