Pipgro Aplikacija za upravljanje nalog by Yongzun Wu and Jingxuan Wang

Pipgro Aplikacija za upravljanje nalog by Yongzun Wu and Jingxuan Wang is a highly esteemed winner of the very prestigious 2026 Bronasta nagrada A' Design Award in Oblikovanje digitalnih izdelkov Competition Category.

BronastaDigitalni izdelek· 2026

Pipgro Aplikacija za upravljanje nalog

by Yongzun Wu and Jingxuan Wang

Client: Kenta

Bronasta nagrada A' Design Award Winner in Digitalni izdelek Category

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The Design

About Pipgro Aplikacija za upravljanje nalog

Pipgro je mobilna aplikacija, zasnovana za podporo pri izvajanju nalog odraslim z motnjo pozornosti s hiperaktivnostjo (ADHD). Številna orodja za produktivnost se osredotočajo na načrtovanje, medtem ko Pipgro naslavlja korak začenjanja in dokončanja dela. Izgovorjene ali zapisane misli umetna inteligenca razdeli na majhne naloge, pri čemer se prikazuje en korak naenkrat. Način osredotočenosti omejuje motnje, čustveni odzivi pa se beležijo za prilagajanje prihodnjih načrtov. Napredek je prikazan skozi metaforo rasti, zbirati pa je mogoče tudi nagrade. Vmesnik za pametno uro omogoča hitro zajemanje misli.

The Recognition

About the Bronasta nagrada A' Design Award

Pipgro Aplikacija za upravljanje nalog je prejemnik Bronaste nagrade A' Design Award, zelo prestižnega priznanja, ki se podeljuje izjemnim oblikovanjem, ki se odlikujejo po ustvarjalnosti, iznajdljivosti in bistrosti. Prejemniki Bronaste nagrade so v celoti spretni in presenetljivo ustvarjalni artefakti, ki potrjujejo bogate izkušnje, domišljijo in zvitost svojih oblikovalcev. Od Pipgro Aplikacija za upravljanje nalog se pričakuje, da bo visoko cenjen, občudovan in ljubljen predmet, opazno profesionalen in inovativen. To oblikovanje, nagrajeno z Bronasto nagrado A' Design Award, vključuje najboljše prakse v umetnosti, znanosti, oblikovanju in tehnologiji ter je odlično po pozornosti do podrobnosti. Pipgro Aplikacija za upravljanje nalog sijajno zadovoljuje potrebe, se dotika želja, očara čustva in vzbuja radovednost.

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.