按市场的物理规律做增长:Gojek 增长负责人谈东南亚超级应用

原标题Growth in the Physics of a Market: Lessons from Gojek, Kumu and Southeast Asia's Super Apps

曾搭建 Gojek 增长团队、现任 Kumu 首席产品官的 Crystal Widjaja 分享廉价实验、留存基准、分析踩坑和早期增长招聘。

CWCrystal Widjaja嘉宾
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简体中文目前只有摘要,下面的完整文稿是英语原文。
摘要

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Crystal Widjaja 解释 Gojek 如何靠测廉价、不可规模化的点子、修好转化前一步、拉动市场里已经存在的杠杆来增长。她还说明,大多数分析工作失败是因为团队在追指标,而不是追能解释行为的上下文;早期增长团队该招的是有统计判断力的人,而不是最炫的简历。

  1. 1用不规模化的办法先验证一个点Gojek 测订阅时,把司机拉进 WhatsApp 群,靠实习生手工发券、扣余额;测新引导页时,设计师把稿叠在截图上当应用内消息发出去。
  2. 230 个用户的实验也值得跑她说样本量变大,改的是趋势的精度,不是趋势本身;一个想不出怎么测的点子,「基本没用」。
  3. 3去修你真正在乎的那一步的前一步GoFood 没有直接追留存,而是用 Facebook 好友点过的餐厅解决信任,用户尝试新商家的概率翻倍。
  4. 4把市场当成物理,去拉还没用过的杠杆让司机当推销员、按充值拿提成,上线后贡献了 GoPay 获客的 60%,模型本身没改。
  5. 5测量不是洞察「核心用户下单多四倍」只是观察;要等到你记下屏幕上看到几个司机这类上下文,才能知道为什么、该怎么改。
  6. 6早期增长人要招统计判断力,不要招表面光鲜懂抽样和选择偏差的人,才不会追错数字;带回家的实验设计题,能看出他们怎么想。
全文

按章节阅读完整文稿

01

非标准路径把她带进一栋房子里的创业公司,后来成了超级应用

Widjaja grew up in San Jose, studied political science, and took an investment banking research job, where she taught herself MySQL to tame a 130,000-row spreadsheet. Banking did not embrace the idea, so she left and applied her pattern-matching to Southeast Asia, where her family is from. She cold-emailed Gojek's HR and offered to move to Indonesia, and they took the bet.

Over five years she built the data team from scratch, then fraud and risk, then performance marketing, and finally the growth team. Gojek, now part of GoTo, served about 170 million users across Southeast Asia with more than 20 services, from rides and food to bill pay and movie tickets. Kumu, where she is chief product officer, is a social super app focused on the Philippines that combines feeds, audio, video and multi-seat rooms.

She joined Gojek because the value proposition was clear: Indonesian traffic is so bad that a motorcycle taxi beats a car, and food delivery spares people a two-hour trip. The drivers and restaurants already existed but were hard to connect, and she thought the mobile-app channel was a very solvable problem. The company rented a stadium to onboard 60,000 drivers within a couple of weeks, and when she arrived the company was in a house doing 4,000 orders a day.

02

超级应用长在手机很小、财团很被信任的地方

Asked why the US has no super app, Widjaja points first to culture. In Southeast Asia people have grown up trusting conglomerates that own the mall, the apartment building and the school, while in America people worry about whether Google already knows too much.

The second reason is device economics. Many people leapfrogged the computer and have only a phone, so when storage fills up they delete an app rather than a photo of their kid. To survive, an app has to be part of a super app, and Lenny adds that such an app only needs to be good enough at everything to get the job done.

03

先做疯狂、不可规模化的测试,哪怕只有 30 个用户

Widjaja says the bread and butter at Gojek was doing slightly crazy things that validate a point. To test a subscription, the team added 100 drivers to a WhatsApp group and told them to pitch it to riders for $10; interns then manually granted the vouchers and deducted the money from the driver's balance. It was a Wizard of Oz test that needed no build and validated conversion rates.

For a new onboarding screen, a designer overlaid the proposed flow on a screenshot of the current screen and it went out as an in-app message. Quizzes ran through Typeform, and the team later made an in-app webpage so features could be tested without waiting for a mobile release. The guiding question was what experience they wanted to create and how to manifest it as fast as possible.

Her advice to startups is that an idea without a testable hypothesis is almost useless, because consumers are not always rational. Even with a sample of 30 you should run experiments, since a larger sample changes the precision of a trend but not the trend itself. Better to have 30 data points than zero.

04

别直接追留存,去修决策前那一步

People want to jump from zero to retention, Widjaja says, but users decide based on the events that precede it. For GoFood the barrier was trust in a new restaurant, so the team used Facebook connect data to show food that a user's friends had bought. Users were twice as likely to order from a brand-new restaurant, which raised GMV by solving trust first.

She clarifies that she does not mean retention is unimportant, only that it is too vague a target. She uses an exercise from *Made to Stick*: asking for everything orange in the world is hard, while everything orange on a construction site is concrete and actionable. Retention gains usually come from the step before conversion, where friction or poor copy keeps people from the next action.

Founders often grasp at straws with brand-new features that have no Wizard of Oz test and no data showing users want them. If many people land and do nothing, she suspects copy that should speak to the pain point rather than the solution. Otherwise she looks for the most painfully long conversion path; at Kumu, speeding up the underused, slow friend search raised conversion from 60% to 90% in a few weeks, and she layers such sure wins with riskier bets.

05

免费产品第一周大约留住 60% 的人,才算过关

Widjaja offers concrete benchmarks. At scale, a free product should retain at least 60% at its natural frequency period, and a paid product perhaps 20 to 30%. In the earliest days with friends and family, it should be close to 80%, because if people who care about you will not use it, it will not solve the job for anyone else.

She thinks of it in cohorts: week one should land around 60% and then flatten within two to three periods. Gojek showed 60 to 70% in its early days, which told her it would be fine. She is wary of misleading early spikes, citing international launches where only users with accepted payment cards can subscribe, so the first-week surge just pulls forward everyone who could join.

06

把市场建成物理模型,再去拉你还没用过的杠杆

Widjaja's process starts with constraints, the physics of the market, product, model and channels. For Gojek that meant Indonesian consumers and drivers, a mobile app, a per-order fee, and channels including push notifications, Facebook ads and the real world, where a driver in a jacket was effectively a moving advertisement that drove word of mouth in each new city. Step two checks whether your loops, funnels and inputs fit these physics, changing one small thing at a time.

The team then noticed an underused lever: drivers. To grow the GoPay e-wallet, they built a small service that checked if a rider had ever topped up and messaged the driver to offer extra money for taking the rider's cash and depositing it into their wallet. Drivers made great salespeople because they had a captive customer, and the feature made up 60% of GoPay acquisition once released.

She advises starting from what already works and attacking the biggest constraint, since you are not a wizard who can move the universe. At Kumu the job is harder to measure than a transaction, so the team adds deliberate friction, such as questionnaires to join a community, to tell who really wants friendship rather than entertainment.

07

把新产品接到熟悉的心智模型上,给害怕的用户一个暂停键

Widjaja says that early growth unlocks were often copy. Because many people did not know what a digital wallet was, Gojek put users' virtual account numbers on a picture of a credit card, so they understood it worked like a debit account and could top up at an ATM. Top-ups rose just from sending that image.

For a direct-to-consumer subscription company she advises, the top cancellation reason was fear of commitment, yet the app only let users cancel or resume. Adding a pause button gave a temporary answer to a temporary problem and reduced churn that was hard to win back. Lenny notes that Airbnb's snooze feature for listings worked the same way.

08

分析失败,是因为团队在收集测量,而不是洞察

Widjaja says her popular Reforge post on why most analytics efforts fail came from frustration, and that the main culprit is instrumentation. Teams track metrics for their OKRs but do not use data to find insights, treating it like entertainment rather than news. Real news changes what you do.

A measurement is an observation, such as power users making four times more bookings, and it lacks context. An insight explains why and tells you how to act, such as power users being more likely to use free shipping on high-GMV baskets, which suggests a marketing change. This requires putting properties on events so you can segment behavior, form hypotheses and test them.

She can tell a weak team from its instrumentation spec: many events with one or no properties. For the Gojek map event she would capture the number of drivers visible, pickup location, city, coordinates, surge pricing, minimum fare and voucher code. That reveals, for example, that users seeing two drivers convert less than those seeing five, and where that happens.

For tooling, she suggests Google Data Studio or Metabase for early teams, CleverTap for in-app event tracking, Amplitude and Segment as teams grow, and Eppo for experimentation. She advises thinking through why someone would or would not press each button and mapping the experience.

09

增长团队去填真实缺口,招聘看统计直觉

At Gojek growth emerged to fill gaps the core product team was too busy to cover, like choosing SMS providers for one-time passwords or telling drivers when a customer was brand new, since new users did not know whether to wait or walk to the driver. Growth product managers were later embedded into teams and became PMs owning parts of the product. She believes the first growth hire should work on a known gap rather than model everything from scratch.

A separate growth team can work if product-market fit is so strong that the core team is scrambling, acting as the cleanup crew. Her team was heavy on statistics graduates, because working at that scale is a numbers game. Her hiring bar is intuitive statistics, including sampling and selection bias, since measuring the wrong thing is the worst outcome.

She cares less about experience than whether a candidate will focus on the right opportunity over the flashiest. Candidates get a take-home case on experiment design with about four hours of work over five days, and she likes hearing that they had to Google things. Gojek's first real growth experiment was a Python script using Twilio to text drivers about low acceptance rates, which lifted acceptance by 2%.

10

Generation Girl 在上大学之前补上 STEM 的性别缺口

Widjaja cofounded the nonprofit Generation Girl with former Gojek colleagues after repeatedly hearing comments about not looking like an engineer. It offers free classes for girls aged 12 to 17 and college students, and is happy if girls conclude they do not like engineering, since that is agency without social pressure. Several thousand students have gone through its clubs and classes, and it works with Indonesian tech companies to pair students with engineers.

Its newest initiative, Class, is a free site for teachers, built through the MIT Solve program, to help them teach newer concepts. Because every teacher reaches thousands of students, she sees this as high leverage. She says below 18% of computer-science graduates are women, partly because girls get fewer introductory STEM classes and feel behind, and she cites Carnegie Mellon introductory classes that helped women graduate at similar rates.

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