EcoEats

EcoEats Sustainable Meal Discovery App

Huggl Inc.

Education

Web & UI/UX

[Introduction]

Designing a food platform that balances discovery with repeat, habit-based ordering

Food apps are built for quick decisions, but eating is a daily habit.
I designed EcoEats to support both exploration and routine, helping users discover sustainable meals while making repeat ordering simple and predictable.

EcoEats
EcoEats
EcoEats

[Description]

The Problem

Most food platforms optimize for browsing and transactions, not long-term behavior.

This creates friction:

  • Users struggle to consistently find healthy, sustainable options

  • Discovery is broad but rarely personalized

  • Subscriptions and repeat orders are not well integrated

  • Meal planning and ordering feel disconnected

The result is inconsistency. Users explore, but don’t build habits.

Context

EcoEats connects users with eco-conscious food providers and supports:

  • One-time meal ordering

  • Subscription-based meal plans

  • Personalized recommendations

The challenge was designing a system that supports both short-term decisions and long-term routines.

Strategy

The key challenge was balancing two opposing behaviors:

  • Exploration (trying new meals)

  • Routine (reordering familiar meals)

I structured the product around three decisions:

1. Separate discovery from routine clearly
Instead of mixing everything into one feed:

  • “Discover” focuses on exploration and new options

  • “My Meals” focuses on subscriptions and repeat behavior

This reduces cognitive switching and aligns with user intent.

2. Personalize early to reduce long-term friction
Users shouldn’t have to repeatedly filter content.

I introduced:

  • Early onboarding for dietary and lifestyle preferences

  • Personalized meal recommendations from first use

This makes discovery more relevant and reduces decision fatigue over time.

3. Design for quick, repeatable actions
For a daily-use product, speed matters.

I focused on:

  • Fast reordering from recent meals

  • Clear visibility into subscriptions

  • Minimal steps from selection to checkout

This supports habit formation rather than one-off usage.

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Solution

Onboarding & Personalization
  • Preference capture for diet, interests, and lifestyle

  • Immediate personalization of content

  • Low-friction setup to avoid drop-off

Home (Daily Decision Layer)
  • Location-based availability
  • Quick access to categories and search

  • Personalized sections like “Popular” and “Recommended”

Designed for fast, everyday decisions.

My Meals (Routine Layer)
  • Subscribed meals and plans

  • Recent orders for quick reordering

  • Structured view of ongoing meal commitments

This is where repeat behavior is anchored.

Discover (Exploration Layer)
  • New meals, providers, and categories
  • Curated sections like Weekly Picks and Eco initiatives

  • Search and filtering for deeper exploration

Encourages variety without disrupting routine.

Orders & Checkout
  • Clear cart and checkout flow
  • Delivery and pickup options

  • Real-time order tracking and history

Provides transparency across the full order lifecycle.

Profile & Control
  • Preferences, addresses, and wallet
  • Family profiles and account settings

  • Support and rewards

Acts as a centralized control layer.

Before vs After

Before:

  • Food discovery without long-term structure

  • Disconnected ordering and subscription flows

  • Limited personalization and repeat support

After:

  • Clear separation between discovery and routine

  • Integrated subscriptions and reordering

  • Personalized experience from first use

The product shifts from transactional use to habit-driven engagement.

Outcome

EcoEats delivers a structured food experience that supports both flexibility and consistency.

  • Users can explore new meals without losing their routines

  • Repeat ordering becomes faster and more predictable

  • Sustainable choices become easier to maintain over time

What This Project Demonstrates

  • Designing for habit formation and repeat behavior

  • Structuring products around competing user intents

  • Subscription and ordering experience design

  • Personalization in early-stage user flows

  • Scalable mobile-first product thinking

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