R&D Management 10 min read

How Youku Streamlined Demand Analysis: A Data‑Driven Process Overhaul

This article details how a Youku team, together with Alibaba's PMO, redesigned their demand analysis workflow in 2016‑2017 by introducing data‑driven standards, product planning, decentralized reviews, and unified tooling, resulting in clearer timelines, higher efficiency, and measurable quality improvements.

21CTO
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How Youku Streamlined Demand Analysis: A Data‑Driven Process Overhaul

Background and Goal In December 2016, I joined the Fenglinhuoshan project with the mobile Taobao PMO to help Youku quickly integrate into Alibaba's R&D system, focusing on optimizing the demand analysis process. The aim was to provide a lightweight, standards‑heavy, data‑driven demand management solution that makes the entire lifecycle from creation to release transparent.

Interviews with product, design, development, testing, and project managers revealed major pain points in the demand analysis stage.

The optimization goals were to deliver a light process, strong standards, and data‑driven management, enabling transparent tracking of demands from creation to release.

Design and Implementation Youku already had a demand analysis process with priority PK and review mechanisms. Building on feedback and the characteristics of the Youku mobile app, and borrowing from Taobao's experience, I designed an improved demand management scheme.

Bi‑weekly Iteration Timeline (illustrative)

Key Differences from Existing Process

Added a product planning phase: quarterly meetings with business owners to review past data, set goals, and align core demands with business objectives.

Demand grooming now includes interactive sketches; TLs and key stakeholders attend, and product owners pre‑load demand summaries into Alibaba Cloud RDC, ensuring clear value, feasibility, and flow.

Shifted from centralized TL‑only reviews to decentralized reviews involving frontline team members, allowing TLs to focus on critical demands.

Only demands meeting a defined “start‑up standard” proceed to development; standards are drafted by product teams and approved by TLs, embedded in the RDC template.

All demands are tracked in Alibaba Cloud RDC, providing a unified, data‑driven management platform that reduces communication overhead.

Effect Evaluation After the solution rolled out in January 2017, I interviewed two product members, one designer, and one developer, and held a summary meeting on January 20 with TLs and frontline representatives. Feedback highlighted:

Improved rhythm: clearer milestones and deliverables.

Simpler, more efficient process, eliminating redundant steps.

Frontline staff better understand demands, spotting issues early.

Separate reviews increase efficiency and reduce time consumption.

Product teams move forward earlier, reducing backlog.

Tool adoption (RDC) enhanced information sync, unified demand‑bug linking, and boosted overall efficiency.

Continuous Optimization Following the Youku rollout, other teams requested similar improvements. Between February and March 2017, I helped Youku’s product‑technology department and advertising team adopt the unified RDC workflow, achieving full‑process transparency.

Core metric dashboards (illustrated below) tracked demand count, total lead time, stage‑wise durations, newly created defects, and average defect‑close time for each business line during March 2017.

(Note: data anonymized for security)

Two illustrative cases emerged:

Case 1 : A team found the analysis phase excessively long because ready demands waited for capacity‑full development slots, inflating analysis time. Adding a scheduling state after analysis reflected true workflow and uncovered bottlenecks.

Case 2 : A business line delivered 16 demands in March but generated 1,030 new defects. Root causes were oversized demand granularity and inconsistent understanding among testing, product, and development. Actions included splitting demands and involving testers in reviews.

Conclusion As an agile coach, I translated best‑practice industry methods into Alibaba’s context, establishing stable iteration rhythms and transparent data‑driven processes. The Youku team formed a cross‑functional prototype that paved the way for feature‑team transformation, while continuous collaboration with the RDC product team enhanced reporting capabilities for broader organizational benefit.

Author bio: Zhang Yinghui (WenJu), Alibaba Agile Coach, supporting teams such as Taobao Live, Youku, and Smart Marketing Platform, driving agile practice across Alibaba’s departments and the RDC development collaboration platform.
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AlibabaCase Studyprocess optimizationagiledemand managementYouku
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