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Pipgro Applikation för uppgiftshantering by Yongzun Wu and Jingxuan Wang

Pipgro Applikation för uppgiftshantering by Yongzun Wu and Jingxuan Wang is a highly esteemed winner of the very prestigious 2026 A' Design Award i Brons in Digital produktdesign Competition Category.


BronsDigital produkt· 2026

Pipgro Applikation för uppgiftshantering

by Yongzun Wu and Jingxuan Wang

Client: Kenta

A' Design Award i Brons Winner in Digital produkt Category

Colors

The Design

About Pipgro Applikation för uppgiftshantering

Pipgro är en mobilapplikation utformad för att stödja utförandet av uppgifter för vuxna med ADHD (Attention Deficit Hyperactivity Disorder). Många produktivitetsverktyg fokuserar på planering, medan Pipgro tar sig an steget att påbörja och slutföra arbete. Talade eller skrivna tankar bryts ned i små uppgifter av artificiell intelligens, och ett steg visas åt gången. Ett fokusläge begränsar distraktioner, och emotionell återkoppling loggas för att justera framtida planer. Framsteg visas genom en tillväxtmetafor, och belöningar kan samlas in. Ett smartklockegränssnitt möjliggör snabb infångning av tankar.

The Recognition

About the A' Design Award i Brons

Pipgro Applikation för uppgiftshantering är vinnare av A' Design Award i Brons, ett högst prestigefyllt erkännande som tilldelas enastående designverk som utmärker sig genom kreativitet, uppfinningsrikedom och klokhet. Bronsvinnare är mycket skickliga och slående kreativa föremål som styrker formgivarnas stora erfarenhet, fantasi och påhittighet. Pipgro Applikation för uppgiftshantering förväntas vara ett högt skattat, beundrat och älskat föremål som är anmärkningsvärt professionellt och innovativt. Detta vinnande verk i A' Design Award i Brons införlivar bästa praxis inom konst, vetenskap, design och teknik och är utmärkt genom sin omsorg om detaljer. Pipgro Applikation för uppgiftshantering tillfredsställer fantastiskt behov, rör vid längtan, charmar känslor och väcker nyfikenhet.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties
Pipgro is an intelligent task execution companion designed for adults with ADHD. While most productivity tools focus on planning and listing tasks, Pipgro addresses the execution gap by breaking tasks into executable steps, narrowing focus to the present, and visualizing progress through growth metaphors. Emotion-aware planning, adaptive task redirection, and rewards reduce execution stress and support sustained follow-through.
Dimensions & Packaging
Pipgro is a digital interaction design realized across mobile and smartwatch interfaces. It supports natural language input, AI-driven task decomposition, focus mode execution, emotional feedback logging, and visual progress tracking. The smartwatch interface enables quick thought capture, focus mode entry, and emotion logging, while both platforms are optimized for touch interaction, accessibility, and low cognitive load in daily use.
Tags
Attention Deficit Hyperactivity Disorder(ADHD), Task Decomposition, Task Execution, Behavioral Design, Cognitive Load Reduction, AI-Assisted Planning, Focus Support, Emotional Feedback, Gamified Motivation
Production Technology
Pipgro is realized as a mobile digital product integrating AI-driven task decomposition, adaptive scheduling, and behavior-based feedback loops. Natural language input is parsed into structured tasks, while user interactions and emotional feedback inform dynamic task adjustment. The interface is prototyped and iterated through user testing, with focus modes, visual growth systems, and reward mechanics implemented to support sustained execution.
Design Challenge
The main challenge was designing a productivity system for ADHD users without increasing pressure or guilt. Traditional planning structures often worsen avoidance rather than support action. Balancing guidance with autonomy, and reducing cognitive load while maintaining progress, required careful behavioral research and repeated iteration. The design needed to support execution without control, encouraging momentum while respecting emotional resistance.
Research
This project is based on qualitative design research. The objective was to understand why adults with ADHD struggle with task execution rather than planning. Research methods included interviews, diary studies, and usability testing. Participants were adults diagnosed with ADHD. Findings revealed that mental overload, emotional resistance, and decision fatigue are key barriers. Insights led to an execution-focused system emphasizing task decomposition, focus support, and adaptive feedback, demonstrating how behavior-informed design can reduce friction in everyday productivity.
Inspiration
Pipgro was inspired by research and interviews revealing that adults with attention deficit hyperactivity disorder (ADHD) struggle not with planning, but with task initiation and follow-through. Observing how conventional plan-list apps often increase pressure, the design draws from behavioral psychology and cognitive load theory to reduce friction in action. The growth metaphor and emotion-aware adaptation were developed to support momentum rather than control.
Project Duration
The concept project was developed between June 2025 and December 2025, primarily conducted in Beijing and New Jersey.
Operation Flow
Users begin by freely expressing their thoughts through text or voice. Pipgro breaks these thoughts into small, clear tasks and presents one step at a time. If a task feels difficult, users can further split it into easier actions. While working on a task, if users feel stuck or want to stop, Pipgro recommends simpler tasks to preserve momentum. Afterwards, users review execution and emotion data, receive AI suggestions to improve future plans, and collect fruits to customize Pip, reinforcing motivation.
Team Members
Jingxuan Wang
Image Credits
#1: Yongzun Wu & Jingxuan Wang, UI/UX and branding, 2025.
#2: Yongzun Wu & Jingxuan Wang, UI/UX and branding, 2025.
#3: Yongzun Wu & Jingxuan Wang, UI/UX and branding, 2025.
#4: Yongzun Wu & Jingxuan Wang, UI/UX and branding, 2025.
#5: Yongzun Wu & Jingxuan Wang, UI/UX and branding, 2025.

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