Startup School 2019 - 005 Ilya V

SUS2019 YC创业课 如何数据分析
本来以为是夹带私货的一节课，看完觉得方法论还是不错的

Why even focus on the analytics?
Obviously primary and secondary metrics drive the MVP and product market fit process.

Any B2B product or B2C product actually has this type of funnel where you acquire a user, you engage a user over a period of time. That loop is called retention. And then finally you monetize the user.

you have analytics set up, it's them to focus on three different metrics. AARRR模型的思路

1. Acquisition metric, signups per week.
2. Retention cohort. 20 and 30% at least.
3. Revenue. monthly recurring revenue.

organic users / invite /paid

So instead of you kind of pulling out the customer, the customer starts pulling at you. That's a good feeling of product market fit.

And so if you feel product market fit there, then you can start scaling the company.

As soon as customers hit it, they start using it in ways that you just don't expect.

And so that's why it's important to have this type of viewing, either stand over your customers' shoulders, which is great.

Startup stack

1. MVP
   Web & product analytics
   Dashboards
   User workflow
2. Private Beta
   Live chat
   Data warehouse
   Email & push
   Help desk
3. Launch
4. PMF search
   CRM
5. Scale
   Advertising

So best in class tools change every two years. Just be prepared for change and don't spend too much time trying to perfect your your choice right now.