藉由 WTM Taipei 討論會屬於一個互相協助、腦力激盪與共同成長的一個地方。邀請在職場在工作上遇到困難、問題或是職涯探討與話題等,讓我們在這場分享、討論會中互相支持、協助他人與解決問題。 WTM Taipei offers a supportive environment for sharing workplace challenges, exploring career questions, and fostering growth through open discussions and mutual support.
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🙋 Voice Matters 🧁
設計能觸動人心,數據能揭示行為。當感性與理性並行時,我們才能真正看見使用者的全貌。在這場分享中,Jamin Fan 將帶我們思考:設計不只是創意,更是透過數據洞察行為模式,讓體驗既有溫度,也能被驗證。而 Ricky Yu 則會從另一個角度出發:當我們只看數據,能否真正理解人心?當我們接觸人性時,又能否從數據找到呼應?這不僅是一場設計與數據的對話,更是用不同視角出發的學習旅程。
Design moves the heart. Data reveals behavior. Together, they give us a fuller picture of the human experience.
In this session, Speaker A will share how design and data, when working side by side, don’t limit creativity to numbers but instead enrich it—creating experiences that are thoughtful, inclusive, and deeply human.
Speaker B will invite us to reflect from another perspective: Can data alone help us truly understand people? And when we imagine humanity more dimensionally, can insights from data bring that picture to life?
This is not just a talk on design and data, but a journey of perspective-shifting. Join us to explore more!
📅 Event Info
Event Date: 9/17/2025 (Wed)
Event Time: 7:00 pm - 9:00 pm
Agenda
7:00 pm Check-in + Opening + Casual Networking
7:40 pm Jamin Fan | Design × Data: A Conversation | Zoom (Virtual) | English
8:10 pm Ricky Yu | 從數據到人性 : 一場非數據人的視角旅程 | in-person | Mandarin
8:40 pm Casual Networking
9:00 pm End
Location: Dcard (Google Map, MRT 國父紀念館站, 搭電梯到 R 樓再往上走一層)
Primary Language: English + Mandarin
🎟 Ticket Info
Free Ticket
👽 Target Audience
👉 UX / UI / Service Design 領域的設計師,想強化資料導向思維的人. UX / UI / Service Designers who want to integrate data-driven insights into their practice.
👉 Data Analyst / Data Scientist,想學習如何與設計協作的人. Data analysts and data scientists interested in collaborating with design perspectives.
👉 產品經理 (PM)、創新或轉型專案負責人,需要兼顧數據與使用者體驗的角色. Product Managers, innovation leads, or project owners balancing data and user experience.
👉 想理解「數據 vs 人心」如何互補,並轉化為實際設計決策的專業人士. Professionals curious about how empathy and evidence complement each other in decision-making.
👉 對跨領域合作 (設計 × 數據) 有興趣的學生或職場新鮮人. Students or early-career professionals exploring cross-disciplinary collaboration between design and data.
🎁 Gift/Takeaways
✅ 理解「設計 × 數據」如何相輔相成,而不是彼此取代. Understand how design and data complement—rather than compete with—each other.
✅ 學會在專案中同時讀懂「人心」與「行為模式」. Learn to interpret both human feelings and behavioral patterns in projects.
✅ 掌握將數據轉譯成設計洞見的方法. Gain methods to translate data into actionable design insights.
✅ 看見如何以設計思維補足數據的盲點,以數據驗證設計假設. See how design thinking can address data’s blind spots while data validates design assumptions.
✅ 帶走一套能應用在產品/專案上的跨域合作視角. Walk away with a cross-disciplinary lens to apply in product and project work.
🚨 Notice
現場無提供飲水機,需自備飲用水. A water dispenser will be available on-site. Please bring your drinks.
活動不提供餐點與飲品,如需可自行準備早餐至現場享用,但需自行帶走垃圾.🥤 No food or drinks were provided. You may bring your breakfast, but please take your trash with you.
此活動為實體活動,活動當天不會有線上直播. All events are in person.
🚨 報名後未出現者,任一場 WTM 活動達三次以上列入黑名單! 倘若未能前往參與活動,請釋出善意,釋出您手上的票券讓他人參與! 感恩! If you can't make it, please release your ticket to people who want to join.
📮 Terms and Conditions
The host reserves the right to modify the agenda; the actual schedule will be announced on the day of the event. 主辦單位保留變更議程之權利,實際議程以活動當日公告為主。
📮 Policy
本活動支持「多元、平等與共融 Diversity, Equity and Inclusion (DEI)」思維與行動,旨在促進所有人的多元文化如種族、宗教、認知、身體不便之人、性別和少數民族 (Underrepresented Groups) 等不同背景的我們如何平等且公平的對待他人,尊重對方也相互連接和被共融。因此請帶著尊重彼此、友善與同理心前來參與。活動過程中請遵守我們的「行為守則」,謝謝您的支持與參與!
🚨 COVID-FREE
👉 為保護您與他人的健康,請參加者務必自行準備醫療級 (外科) 口罩,利人利己。
👉 若體溫超過 37.5 ℃,或有咳嗽、頭痛、喉嚨痛、流鼻水、疲倦或全身痠痛等類流感症狀,請您在家休息。
👉 請至少 7 天後在前往參與活動。
“For your safety and the safety of others, if you are not feeling well, please at least do NOT attend events for 7 days.“
Wednesday, September 17, 2025
11:00 AM – 1:00 PM (UTC)
11:00 AM | Check-in + Opening + Casual Networking |
11:40 AM | Design × Data: A Conversation by Jamin Fan (English) |
12:10 PM | 從數據到人性 : 一場非數據人的視角旅程 by Ricky Yu (Mandarin) |
12:40 PM | Casual Networking |
1:00 PM | End |
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