Pipgro 任務管理應用程式 by Yongzun Wu and Jingxuan Wang is a highly esteemed winner of the very prestigious 2026 A' Design Award 銅獎 in 數碼產品設計 Competition Category.
銅數碼產品· 2026
Pipgro 任務管理應用程式
by Yongzun Wu and Jingxuan Wang
Client: Kenta
A' Design Award 銅獎 Winner in 數碼產品 Category
- 11,795
- Verified Award Winner
- Verify Award Status for #179002
The Design
About Pipgro 任務管理應用程式
Pipgro係一個專為患有注意力不足過動症（ADHD）嘅成年人而設計嘅流動應用程式，用嚟支援任務執行。好多生產力工具都著重於計劃，而Pipgro就針對開始同完成工作嘅步驟。用戶講出嚟或者寫低嘅諗法會由人工智能拆解成細小嘅任務，並且每次只顯示一個步驟。專注模式可以減少干擾，情緒反饋亦會被記錄低，用嚟調整將來嘅計劃。進度會透過成長嘅隱喻嚟展示，用戶亦可以收集獎勵。智能手錶介面可以令用戶快速記低諗法。
The Recognition
About the A' Design Award 銅獎
Pipgro 任務管理應用程式是 A' Design Award 銅獎得主，這是授予以創造力、獨創性和敏銳見長的傑出設計的極具聲望的認可。銅獎得主是技藝嫻熟、創意驚人的作品，印證了其設計師豐富的經驗、想像力與機智。預計Pipgro 任務管理應用程式將成為一件備受推崇、令人欽佩且被珍愛的物品，兼具顯著的專業性與創新性。這件贏得 A' Design Award 銅獎的設計融入藝術、科學、設計和技術領域的最佳實踐，並因注重細節而出類拔萃。Pipgro 任務管理應用程式出色地滿足需求，觸動渴望，迷住情感，並吸引好奇心。
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.
Sponsored
Explore Beyond Designers.org
Discover products, services and opportunities from our advertising partners.
More to Explore
Related Designs
Explore more award-winning designs from the same category, selected by merit.
