files/ycombinator_LLerCc7MOQo.txt

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hi everyone my name is Ilya I'm one of the co-founders at segment and I'm here
大家好，我叫 Ilya，我是 Segment 的联合创始人之一，我在这里
to talk to you about how to set up analytics and the analytics foundation
与您讨论如何设置分析和分析基础
to build your MVP and to measure these primary and secondary metrics so this is
构建您的 MVP 并衡量这些主要和次要指标，所以这是
going to be a little bit more of a tactical guide around what tools are
将更多地是关于工具是什么的战术指南
there and then oolitic space in the marketing space which one should we
营销空间中的鲕粒空间我们应该
actually be using how do I set them up cool just before I get started a lot of
实际上在我开始使用之前如何将它们设置得很酷
you may not know what segment is it's an analytics API where you can send
您可能不知道哪个部分是一个分析 API，您可以在其中发送
analytics data and then toggle on different tools so we send the cool
分析数据，然后打开不同的工具，以便我们发送很酷的数据
market position where we can actually see what tools startups are using and we
我们可以实际看到初创公司正在使用哪些工具的市场地位
can bring that information to you secondly we've been around for about six
可以把这些信息带给你其次我们已经存在了大约六年
years and so we have information about a lot of different startups as they grew
多年来，我们掌握了许多不同初创公司成长过程中的信息
and what tools they used so we're gonna be sharing a lot of those today cool so
以及他们使用了什么工具，所以我们今天将分享很多这些工具，太酷了
why talk about why even focus on the analytics obviously primary and
为什么要谈论为什么要关注分析显然是首要的
secondary metrics drive the MVP and product market fit process and you're
次要指标推动 MVP 和产品市场契合流程，您可以
using that to actually test product market fit you're also using it once you
使用它来实际测试产品市场契合度，一旦您使用它，您也会使用它

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get out of product market fit strict search to actually focus the team so
退出产品市场，适合严格的搜索，以真正集中团队，以便
maybe there's gonna be an acquisition issue in the company that's preventing
也许公司会出现收购问题，从而阻碍
your growth or maybe the users that you're getting aren't as engaged or
您的成长，或者您获得的用户可能没有那么投入，或者
maybe you're having some monetization issues and so the funnel actually is a
也许你遇到了一些盈利问题，所以漏斗实际上是一个
forcing function to understand your business and where founders should be
迫使职能部门了解你的业务以及创始人应该在哪里
actually spending their time and then finally all the way from you know to
实际上花费了他们的时间，然后最终从你知道的一路走到
three-person team to Google with 1 million employees you're actually using
您实际使用的 Google 的三人团队拥有 100 万员工
metrics to operate and drive teams so eventually you have an engineering team
运营和推动团队的指标，最终您将拥有一支工程团队
you have a marketing team and so what gold do you set in front of the
你有一个营销团队，那么你在客户面前设置了什么黄金呢？
marketing team use analytics for that ok so today we're gonna cover a few
营销团队使用分析来做到这一点，所以今天我们将介绍一些
different things so first you always start with the funnel when you're
不同的事情，所以首先你总是从漏斗开始
thinking about analytics so that's the sequential series of steps so your users
考虑分析，这是一系列连续的步骤，以便您的用户
go through to actually get value and then pay you as well then we're gonna
经历真正获得价值然后付钱给你然后我们会
talk about collecting data for your analytics tools then we're going to talk
谈论为您的分析工具收集数据然后我们将讨论
about the top three metrics so this will include primary and secondary metrics
关于前三个指标，因此这将包括主要和次要指标
that work for most products and then a product market fit methodology that you
适用于大多数产品，然后是您认为适合产品市场的方法

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can apply on top of that and then finally we'll make recommendations about
可以在此基础上申请，最后我们会提出建议
what tools are the best in the market right now that help the product market
目前市场上最好的哪些工具可以帮助产品市场
fit journey ok so to start where we started the funnel so we'll make an
适合旅程 好的，从我们开始漏斗的地方开始，所以我们将制作一个
example funnel for Netflix which is a company
Netflix 公司的漏斗示例
super familiar with any b2b product or b2c product actually has this type of
超级熟悉任何b2b产品或b2c产品实际上都有这种类型
funnel where you acquire a user you engage a user over a period of time that
您获取用户的漏斗 您在一段时间内吸引用户
loop is called retention and then finally you monetize the user and then
循环称为保留，最后你通过用户获利，然后
metrics both primary and secondary are performance indicators on top of each
主要指标和次要指标都是各自之上的绩效指标
stage in the funnel so I on top of acquisition you can ask yourself how
漏斗中的阶段，所以我在获取的基础上，你可以问自己如何
many new users did I get this week versus last week and what's my growth
与上周相比，本周我获得了很多新用户，我的增长情况如何
rate there for engagement you take a cohort of users so from you know Sunday
在那里对参与度进行评分，你会吸引一群用户，所以周日你就会知道
to the following Monday you you have you know 16 people sign up and then you can
到下周一，你知道有 16 个人注册了，然后你就可以
track that cohort of users week over week and see what percentage of them are
每周跟踪该用户群并查看其中的百分比
still using the product four weeks later which is a good example of how to track
四个星期后仍在使用该产品，这是如何跟踪的一个很好的例子

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retention and then we talked about monetization which is how much that new
留存率，然后我们讨论了货币化，即新的内容有多少
revenue did I make this week versus last week okay and then you apply your own
与上周相比，我本周的收入是多少，然后您可以应用自己的收入
custom business funnel to this so if your Netflix we're all familiar the
自定义业务渠道，所以如果您的 Netflix 我们都熟悉
users sign up for Netflix then they play videos in a loop the Netflix is
用户注册 Netflix，然后他们会循环播放 Netflix 的视频
obviously very sticky watching it a lot and then finally when the trial runs out
显然非常粘人，看了很多次，最后当试用期结束时
you do subscription upgraded and you get access to more content okay so how do
您升级了订阅并且可以访问更多内容，那么该怎么办
you collect data once you have this funnel so there's analytics API is out there
一旦你有了这个漏斗，你就可以收集数据，所以就有分析 API 了
I'm using segments as an example you basically want to say user user 1 2 3 in
我使用段作为示例，您基本上想说用户 user 1 2 3 in
this case has done user signup event and they happen to be an organic user which
这个案例已经完成了用户注册事件，他们恰好是一个有机用户，
means they're not invited by someone else then if your Netflix you might say
意味着他们没有受到其他人的邀请，那么如果你的 Netflix 你可能会说
the users video played and eventually subscription upgraded and so this is how
用户的视频播放并最终订阅升级，这就是如何
you instrument your tracking and your mobile app or your or your web app then
然后您对您的跟踪和您的移动应用程序或您的网络应用程序进行检测
you think about event properties so imagine your Netflix and you're holding
你考虑的是事件属性，所以想象一下你的 Netflix 并且你持有
one of these video played events in your hands and you're wondering questions
其中一个视频在您手中播放了事件，您想知道一些问题

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about it so you know what video art is the user actually playing how long is
这样您就可以知道用户实际播放的视频艺术是多长时间
the video how far did the person get inside of the video right equivalent if
视频中该人在视频中走了多远，相当于
you're holding a subscription upgraded event you're going to want to derive
您正在举行一个您想要派生的订阅升级事件
monetization as a Northstar metric so if you're a subscription business you want
货币化作为北极星指标，因此如果您是订阅业务，那么您想要
to send your monthly recurring revenue if you're a transactional business like
如果您是交易型企业，请发送您的每月经常性收入
e-commerce or retail you want to send the actual value of the transaction okay
电子商务或零售您想要发送交易的实际价值好吗
so then you push this out into your web app your mobile app then you start
然后你将其推送到你的网络应用程序和移动应用程序中，然后你就开始
seeing the data come in you look at the debugger you see okay user signup is
看到数据进来，你看看调试器，你会发现好的用户注册是
here every good you add your first analytics tool
在这里，您可以添加您的第一个分析工具
will use amplitude as a good example here amplitude and Mixpanel are pretty
将使用振幅作为一个很好的例子，振幅和 Mixpanel 都很漂亮
awesome analytics tools out in the market right now and then you start
现在市场上有很棒的分析工具，然后您就可以开始
seeing data flow inside of one of these analytics tools so this is amplitude you
查看这些分析工具之一内部的数据流，因此这就是您的振幅
can start seeing user signups growing as soon as you launched the real like
一旦您推出了真正的点赞服务，用户注册量就会开始增长
mobile or web app okay so now that you have analytics set up it's time to focus
移动或网络应用程序都可以，现在您已经设置了分析，是时候集中精力了
on three different metrics the first one is the acquisition metrics signups per
在三个不同的指标上，第一个是每个注册者的获取指标
week it's really nice if you're a b2b business to cut this by the invite type
如果您是一家 B2B 企业，那么通过邀请类型来削减这一点真是太好了

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so I you have organic users which are just signing up from coming to your
所以我你有有机用户，他们刚刚从来到你的网站注册
website direct sign up and then some users are inviting other users so those
网站直接注册，然后一些用户邀请其他用户，这样那些
are invite type right so when you're thinking about growth it's really
邀请类型是正确的，所以当你考虑增长时，它真的是
important to think about the organic user in that case right another example
在这种情况下，重要的是要考虑自然用户（另一个例子）
why if I'm properties are important the way you create this is you go to
为什么如果我的属性很重要，那么你创建它的方式就是你要去的
amplitude you say event segmentation report user sign up next here's your
您所说的幅度 事件分段报告 用户注册 接下来这是您的
graph right so it's as easy as that just website some data gets to amplitude and
图表正确，所以它就像网站一样简单，一些数据得到振幅和
then you can see the amount of organic users every week and then if you're
然后你可以看到每周的自然用户数量，然后如果你
working on the acquisition step as a secondary metric you can basically say
将获取步骤作为次要指标，您基本上可以说
today 218 users organically signed up in the last week but by the end of the
今天，上周有 218 位用户有机注册，但到年底
month we want that to be at 300 and we're gonna execute projects a B and C
一个月我们希望达到 300，我们将执行项目 a B 和 C
this month and then we're gonna watch this graph every single day on a TV
这个月然后我们每天都会在电视上观看这张图表
dashboard in our office or apartment wherever we work and then we're gonna
无论我们在哪里工作，我们的办公室或公寓里都有仪表板，然后我们就会
see if our efforts are actually driving this right so that's an idea of data
看看我们的努力是否真正推动了这一点，这就是数据的想法
driven operation of a team you set a metric and a goal and then you drive
团队的驱动运营，您设定指标和目标，然后驱动

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towards that every day okay the second one is retention to cohorts so someone
每天都朝着这一目标，好吧，第二个是保留群组，所以有人
recently asked about retention what we'll talk about that right now
最近被问到有关保留的问题，我们现在要讨论什么
so with retention you want to think about cohorts of users so you want to
因此，在留存方面，您需要考虑用户群体，因此您想要
say Monday to Sunday let's say December 10th through the 7th December 17th 16
假设周一到周日 假设 12 月 10 日到 7 日 12 月 17 日 16
users signed up and then you look at those 16 users as they use your product
用户注册，然后您查看这 16 个用户使用您的产品的情况
on a week 0 which is their signup week week 1 a week 2 week 3 and week 4 and
第 0 周，即他们的注册周 第 1 周、第 2 周、第 3 周和第 4 周
the general idea here is like you can convince your mom or your grandma to use
这里的总体想法是你可以说服你的妈妈或你的奶奶使用
your product once but even your mom or your grandma won't continue to come back
曾经使用过你的产品，但即使是你的妈妈或你的奶奶也不会继续回来
and use your product over time every single week right and so if you see
并每周都使用你的产品，所以如果你看到
users that are addicted that are coming back week over week that's a really good
上瘾的用户每周都会回来，这真的很好
sign of product market fit so this business can see that the
产品市场契合度的标志，以便该企业可以看到
December tenth cohort only 6.25% of those users are still around on a week
12 月第十组中，只有 6.25% 的用户仍然在一周内
four and that's a pretty low amount right so you probably want that to be
四个，这是一个相当低的数量，所以你可能希望它是
somewhere between 20 or 30 at least and so you can set a goal saying I'm going
至少在 20 到 30 之间，所以你可以设定一个目标，说我要去
to talk to a bunch of these target users and try to figure out you know why
与一群目标用户交谈并尝试找出原因

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they're not getting value out of the product and then make some changes as
他们没有从产品中获得价值，然后做出一些改变
well okay so what metric do you actually pick this is taken from one of gustaf
好吧，那么你实际上选择什么指标呢？这是取自古斯塔夫之一
slides pretty awesome you think about what value your company is giving to
幻灯片非常棒，你想想你的公司赋予了什么价值
your users so Airbnb gives you value by letting you stay at different rental
您的用户，因此 Airbnb 通过让您入住不同的出租屋来为您创造价值
properties around the world right and they want you to do that at least one
世界各地的房产都对，他们希望你至少这样做
time a year otherwise they consider you a churned user equivalently Facebook
一年一次，否则他们会认为你是流失的用户，就像 Facebook 一样
gives you value by letting you look at the newsfeed and you know connect with
通过让您查看新闻源并了解联系，为您提供价值
your friends and they want you to do that at least daily or monthly once and
您的朋友，他们希望您至少每天或每月这样做一次，并且
so when you think about product market fit
所以当你考虑产品市场契合度时
you basically have these two different curves that happen so we have that
你基本上有这两条不同的曲线发生，所以我们有
cohort of 16 users that signed up in one a week and we track them over time and
每周有 16 名用户注册，我们会随着时间的推移对他们进行跟踪
so what ends up happening is for products that don't have product market
所以最终发生的情况是那些没有产品市场的产品
fit they end up tending to go to zero because people just don't care about the
适合他们最终趋向于零，因为人们只是不关心
product right and that's definition product market fit for those tools and
产品权利，这就是适合这些工具的产品市场的定义
the products that do have product market fit you'll see some kind of natural
那些确实适合产品市场的产品，你会看到某种自然的
plateau don't mind this axis it should be somewhere you know between 20 and 30
高原不介意这个轴它应该是你知道的 20 到 30 之间的某个地方

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percent at least okay so how do you create this graph it seems kind of
至少还可以，那么你如何创建这个图表呢？
complicated right luckily both Mixpanel amplitude have really awesome reports
很复杂，幸运的是，两个 Mixpanel 振幅都有非常棒的报告
for this so in amplitude it's a retention analysis report you say users
为此，在幅度上，这是您所说的用户保留分析报告
enter the cohort with user signup and then they return with the video player
通过用户注册进入队列，然后他们带着视频播放器返回
to the subscription upgraded event that's the value event and then you
到订阅升级事件，即价值事件，然后您
press next and out comes this graph and then you could look at for week
按下一步，就会出现这个图表，然后您可以查看一周
retention for cohorts improve the product and watch as new cohorts that
群体的保留改进了产品并观察新的群体
strike the four week mark do better or worse right and that shows you whether
达到第四周的标准，做得更好还是更差，这表明你是否
your changes week over week are actually
你每周的变化实际上是
improving okay finally a revenue so this is the primary metric they want to be
最终提高收入，所以这是他们想要的主要指标
thinking about you'll use for a subscription business the subscription
考虑您将使用订阅业务
upgraded event you'll do a property sum over new plan monthly recurring revenue
升级后的活动，您将在新计划每月经常性收入的基础上进行财产总和
you press next and outcomes your weekly that your revenue graph and then you
您按下一步并得出您每周的收入图表，然后您
could set monthly goals on top of this to make sure you're growing
可以在此基础上设定每月目标，以确保你不断成长
the at the rates that you want to be okay finally I if you have a founding team
如果你有一个创始团队，你最终会希望一切顺利

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it's really good to basically put all the stuff on a dashboard and then put
基本上把所有的东西都放在仪表板上，然后把
this dashboard on a TV in your office it's incredibly incredibly important
办公室电视上的仪表板非常重要
basically this is kind of the the difference between being a data-driven
基本上，这就是数据驱动和数据驱动之间的区别
team and not a data-driven team a lot of
团队，而不是数据驱动的团队
founders actually set up their analytics but then don't look at them ever again
创始人实际上建立了他们的分析，但之后就不再查看它们
because it can be painful right while a data-driven team will put it on a TV and
因为当数据驱动的团队将其放在电视上时，这可能会很痛苦
talk about projects talk about what those projects are actually changing the
谈论项目 谈论这些项目实际上正在改变什么
metrics that they're trying to drive and then just completely understand the
他们试图推动的指标，然后完全理解
business every single day right and this kind of company in this kind of founder
每天的生意都是对的，而且这种公司有这样的创始人
will actually scale to build better high performance companies because the next
实际上会扩大规模以建立更好的高性能公司，因为下一个
team of employees they hire will also be
他们雇用的员工团队也将
looking at that same TV dashboard and be driven off those same metrics so really
看着相同的电视仪表板并被那些相同的指标所驱使，真的
important get a TV next what you want to do is have some kind of social
重要的是买一台电视 接下来你想做的是进行某种社交
accountability around your metrics so if you have your friends your parents your
围绕你的指标负责，所以如果你有你的朋友，你的父母，你的
advisors your investors package up how your business is doing into an email
顾问 您的投资者将您的业务进展情况打包到电子邮件中
this helps you synthesize what is actually happening and then send it out
这可以帮助您综合实际发生的情况，然后将其发送出去
to to those advisers and tell them where
给那些顾问并告诉他们在哪里

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the business is struggling and what your plan is to fix it this allows the
企业正在陷入困境，您的解决方案是什么，这使得
advisors to quickly understand the business and then respond back with much
顾问快速了解业务，然后做出大量回应
more appropriate advice cool and now we'll go into the startup stack so these
更合适的建议很酷，现在我们将进入启动堆栈，所以这些
are tools that we recommend that help this kind of tactical process of setting
我们推荐的工具可以帮助这种战术设置过程
up these metrics so I'm gonna talk a little bit about that MVP business
提高这些指标，所以我要谈谈 MVP 业务
business workflow that that Michael talked about earlier so initially you're
迈克尔之前谈到的业务工作流程，所以最初你是
building an MVP segment built about seven different MVPs before we actually
构建 MVP 部分 在我们实际构建之前构建了大约七个不同的 MVP
found segments and all of those failed and eventually we found we found one
找到了片段，但所有这些都失败了，最终我们发现我们找到了一个
that worked and the process of actually building that BP is incredibly important
有效并且实际构建 BP 的过程非常重要
so once you have that little experiment built you want to enter private beta
所以一旦你完成了这个小实验，你就想进入私人测试版
which basically just means getting like 10 20 30 customers to actually try this
这基本上意味着让 10 20 30 名客户实际尝试这个
product and then having very direct lines of communication open with them
产品，然后与他们建立非常直接的沟通渠道
what segment does nowadays every new product we ship we open slack channels
现在我们推出的每一款新产品都针对哪个细分市场，我们都开放松弛渠道
with each one of our customers and we have the product managers sit in those
与我们的每一位客户一起，我们都有产品经理坐在这些位置
slack channels and talk with the customers for the products that don't
松弛渠道并与客户讨论不适合的产品

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get product market fit the customers just stop responding and we're asking
让产品适合市场 客户只需停止响应，我们就会询问
asking asking they're not responding right and for the products that do have
询问他们的回应是否正确以及确实有的产品
product market fit the customers are immediately being like oh
产品市场契合顾客立刻就喜欢哦
we don't why don't you have this feature
我们不知道为什么你没有这个功能
this is broken might I tread inviting my team and this is network not working so
这已损坏，我可以邀请我的团队吗？网络无法正常工作，所以
instead of you kind of pulling at the customer the customer starts pulling at
不是你拉扯顾客，而是顾客开始拉扯
you that's that's a good feeling of product market fit okay so at some point
你对产品市场契合度有很好的感觉，所以在某个时候
the private beta is going well you feel like people really care about this you
内测进展顺利，你感觉人们真的很关心你
understand your target customer then you want to get a larger market segment to
了解你的目标客户，然后你想获得更大的细分市场
use it that's the launch that we talked about
使用它，这就是我们谈到的发布
earlier try to get there as quickly as possible and then a launch is just more
尽早尝试尽快到达那里，然后发射就更多了
users that you get to test product market fit on and so if you feel product
您测试产品市场契合度的用户，因此如果您觉得产品
market fit there then you can start scaling the company right and you hire
市场适合那里，然后你就可以开始正确扩展公司并雇用
salespeople and you start doing paid paid marketing and things like that so
销售人员和你开始进行付费营销和类似的事情
different tools will guide you throughout this throughout this process
不同的工具将指导您完成整个过程
so as you're building an MVP and you're about to give it to the first group of
因此，当您正在构建 MVP 并将其交给第一组时
customers install Google Analytics install amplitude Google Analytics will
客户安装 Google Analytics 安装幅度 Google Analytics 将

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tell you who's coming from the Internet to your website and an amplitude will
告诉您谁从互联网访问您的网站，并且振幅将
tell you which features are they using how engaged are they with that feature
告诉您他们正在使用哪些功能 他们对该功能的参与程度如何
set unless you're able to stand over the shoulders of all of your users 100% of
除非你能够 100% 站在所有用户的肩膀上
the time analytics is the next best alternative for that we also install
时间分析是我们也安装的下一个最佳选择
live chat on the page so either slack with your customers or
在页面上进行实时聊天，以便与您的客户放松或
if you can't do that then maybe have a live chat available in the beginning of
如果您做不到，那么也许可以在开始时进行实时聊天
segment customers would ping us you know day and night and that's where we got
细分客户会日日夜夜地联系我们，这就是我们得到的结果
the most valuable feedback from them so just as many open channels of
来自他们的最有价值的反馈，就像许多开放渠道一样
communication as possible next data warehouse this is something that we
尽可能沟通 下一个数据仓库 这是我们要做的事情
recommend it used to be expensive is no longer expensive today basically if you
推荐 以前很贵 现在不再贵了 基本上如果你
have a non technical co-founder on your team but want to ask questions around
您的团队中有一位非技术联合创始人，但想提出问题
the data and they'll always ask the technical co-founder we'll have to
数据，他们总是会询问技术联合创始人，我们必须这样做
provide the answers so data warehouse kind of democratizes the data not only
提供答案，使数据仓库不仅使数据民主化
for the non-technical co-founders but for everyone else
对于非技术联合创始人，但对于其他所有人
in the company that you hire after company dashboards obviously I we should
在您在公司仪表板之后雇用的公司中，显然我们应该

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probably move that to the left email and push tools so as soon as you as soon as
可能会将其移至左侧电子邮件和推送工具，以便您一旦
user sign up you want to send them an email I'll talk about that in a second
用户注册你想给他们发送一封电子邮件我稍后会讨论这个
and then and then a help desk so at some point you'll have so much support
然后是服务台，所以在某个时候你会得到很多支持
tickets if you start feeling product market fit and if they're all going to
如果您开始感觉产品适合市场并且它们都将要使用，则门票
your Gmail one founder will just get overwhelmed and not be able to answer
你的 Gmail 一位创始人会不知所措而无法回答
them so you want to have a shared inbox where multiple founders can I can
所以你想要一个共享收件箱，多个创始人可以在其中我可以
respond okay now I'm gonna go through a few different recipes of these different
好吧，现在我要介绍一下这些不同的一些不同的食谱
tools there we found really helpful in product
我们发现那里的工具对产品非常有帮助
market fit so the first one is improving product usability almost every product
市场契合，因此第一个是提高几乎所有产品的产品可用性
that's launched is unusable or highly unusable for the first three months
已推出的产品在前三个月无法使用或高度无法使用
while you have the kinks and we see this with every single product no matter how
当你有疑问时，我们在每件产品上都看到了这一点，无论如何
much effort we put into it ahead of time as soon as customers hit it they start
我们提前付出了很多努力，一旦客户点击他们就开始了
using it in ways that you just don't expect and so there's this tool called
以你意想不到的方式使用它，所以有这个工具叫做
full story which helps you look at sessions of customers as they use your
完整的故事可以帮助您了解客户使用您的产品时的会话情况
website so I'll tell a quick story on this this is a new feature in personas
网站，所以我会讲一个简短的故事，这是角色的一个新功能
which is one of segments products and we launched them the metrics looked
这是细分产品之一，我们推出了它们，指标看起来

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horrible so like customers are coming in but they weren't actually completing it
太可怕了，就像顾客进来了但他们实际上并没有完成它一样
they weren't they weren't using the product and we thought oh god you know
他们不是，他们没有使用该产品，我们想天哪，你知道吗
this likely doesn't have product market fair we have to go back to the drawing
这可能没有产品市场公平我们必须回到绘图
board then one of the designers and her team
然后登上其中一位设计师和她的团队
had this amazing idea let's look at the full story and so we see this user going
有这个惊人的想法让我们看一下完整的故事，所以我们看到这个用户
in about to start this creation workflow
即将开始此创建工作流程
they find this button they clearly don't
他们显然没有找到这个按钮
understand what the button does they get so frustrated they just exit the page
了解按钮是什么，他们会感到沮丧，直接退出页面
and so we saw this with a multiple with multiple different customers coming in
所以我们看到了这样的情况，有多个不同的客户进来
and so we're like okay we just have to fix that button we fixed that button
所以我们就想，好吧，我们只需要修复那个按钮，我们修复了那个按钮
immediately all the metrics got better right and so that's why it's important
所有指标立即变得更好，这就是为什么它很重要
to have this type of viewing either to stand over your customers shoulders
进行这种类型的观看要么站在客户的肩膀上
which is great what the stripe co-founders did or get a full story
Stripe 联合创始人所做的事情很棒，或者了解完整的故事
which is more scalable way to do that okay I call this the 43 minute founder
这是更具可扩展性的方法，好吧，我称之为 43 分钟创始人
email so when we launch a segment we would wait about 43 minutes and we would
电子邮件，因此当我们启动一个片段时，我们会等待大约 43 分钟，然后我们会
email the code or email the customer and say hey I'm Ilya thanks so much for
通过电子邮件发送代码或向客户发送电子邮件并说嘿，我是 Ilya，非常感谢
signing up for segment your next step here is to add a source to segment and
注册分段 您的下一步是添加分段源并

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if you have any questions at all please email me or call me anytime I'm
如果您有任何疑问，请给我发电子邮件或随时打电话给我
available for you since we launched that email in 2013 we've had hundreds of
自从我们在 2013 年推出该电子邮件以来，我们已经收到了数百封
thousands of responses to it so it's it's the connection between you and the
成千上万的回复，所以它是你和他人之间的联系
customer over email that if they get confused they'll respond to it what you
通过电子邮件告知客户，如果他们感到困惑，他们会回复您的内容
can use is a tool called customer IO it's a behavioral email tool which will
可以使用一种名为 customer IO 的工具，它是一种行为电子邮件工具，它将
say every time a user signs up wait you know 30 minutes 40 minutes 50 minutes
每次用户注册时都说等待 30 分钟 40 分钟 50 分钟
whatever and then automatically send them this content and you could template
不管什么，然后自动向他们发送此内容，您可以模板
the first name the company name and so forth based off of your analytics data
基于您的分析数据的名字、公司名称等
so huge recipe recommend and then finally for democratizing data access I
如此巨大的食谱推荐，最后是为了民主化数据访问我
say this is more advanced so this is after you're in your MVP stage you're
说这是更高级的，所以这是在你进入 MVP 阶段之后的情况
feeling good about product market fit you might want to install data warehouse
对产品市场契合度感觉良好，您可能想要安装数据仓库
like Google bigquery and then mode analytics is a bi tool that works on top
就像 Google bigquery 一样，然后模式分析是一个在其上工作的双向工具
of it this lets you ask questions on top of the raw data that you might not be
其中，您可以根据原始数据提出您可能不知道的问题
able to do an amplitude and mix panel just any kind of question you can ask
能够对您可以提出的任何类型的问题进行振幅和混合面板
for sequel and then even the non-technical co-founders will
对于续集，甚至非技术联合创始人也会
eventually pick up sequel and then start asking these questions themselves okay
最终拿起续集然后开始问自己这些问题好吗

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one common failure mode that we see with customers is trying to pick the perfect
我们在客户中看到的一种常见故障模式是试图选择完美的
tool mix panel or amplitude you know bigquery or redshift and spending way
工具混合面板或振幅你知道bigquery或redshift和消费方式
way way too long thinking about that the truth of the matter is you shouldn't
思考问题的真相是你不应该的时间太长了
optimize for picking the right tool right now both amplitude and mix panel
优化以立即选择正确的工具，包括振幅和混合面板
will give you exactly the same result at
会给你完全相同的结果
your stage instead just get through that decision as quickly as possible but set
相反，你的阶段只是尽快做出决定，但要设定
yourself up for change in the future so this is an example diagram that shows a
你自己准备好在未来做出改变，所以这是一个示例图，显示了
customer of segments that use different tools over a period of about three years
在大约三年的时间内使用不同工具的细分市场的客户
and so you can see