五、Product sense

1. 常见面试问题

* Today you immediately notice that our app's new users are doubled. What could be the reason? Do you think it's good or not?

* If we have an app with in-app purchase, name at least 4 metrics you would like to monitor in your dashboard.

* If you are running an A/B testing and find that the result is very positive, thus you decide to launch it. In the first 2 weeks, the performance of our website is very positive./However, with time flying by, all metrics seem to go back to normal. How will you explain this result?

* Assume we are Facebook and we would like to add a new 'love' button. should we do this?

* We are running 30 tests at the same time, trying different versions of our home page. In only one case test wins against the old home page. P-value is 0.04. Would you make the change?

* If after running an A/B testing you find the fact that the desired metric(i.e, Click Through Rate) is going up while another metric is decreasing(i.e., Clicks). How would you make a decision?

* Assume that you are assigned to estimate the LTV(lifetime value) of our game app player. what kind of metrics would you like to calculate so as to make a good prediction?/Assume that you already collect all that you want. How would you make this prediction/estimation?

* If you got a chance to add on new features for our app to increase our profit within a very short term. What will you do?

大多是围绕着 metrics 和如何提高 product performance 来展开的。说实话这些对于 new grads 来说非常不友好因为没有工作经验。

2. 相关资料准备

* Product school: https://www.productschool.com/。 貌似是各个湾区的 tech 公司的 DS 或 PM 大佬们来分享一些案例和学习经验。

* Metrics:https://www.cooladata.com/19-metrics-every-mobile-games-needs-track/

一个关于 Game metrics 的汇总

* Critical metrics every product manager must track (https://productcoalition.com/critical-metrics-every-product-manager-must-track-c5f1e46e3423)

* A/B testing:A/B 测试中 20 个必须知道的问题

* A Collection of Data Science Takehome Challenges: 可以让你有机会解决很多实际的 DS 问题，并且也和 product 有关。

一些个人想法:

大多的产品问题都是围绕着产品的 metrics 或运营中遇到的问题展开的。如果针对互联网 行业来说， 一个典型的产品要从推出后经历以下阶段:user acquisition --> user engagment / retention --> monitization。

讲一个异曲同工的事件来帮助理解吧。了解头条系公司的都知道，公司内有一个流水线作 业的产品工厂模式。他们只有三个最核心的职能部门，技术，user growth 和商业化。技术是保障了整体的运营，所以在整体的产品很稳定之后，就要看一下用户的留存率。如果 发现用户的留存率(retention)或使用率(engagement)非常高，则进入 user growth 的 推动环节，大批量的 marketing 来拉动新的用户增长(user acquisition)。最后把商业化 (广告等)的内容接入产品，迅速变现。虽然顺序和我说的不太一样，但是实际上就是在 在这三个部分对一个产品进行不断的迭代。所以 metrics 也离不开这三个部分。user acquisition 讲求新用户注册率，user engagement 讲求 DAU(日活量)，monitization 讲 求 LTV 和 ARPDAU(Average revenue per daily active user)等等。逐渐加深对互联网 产品的理解，就能更好的应对 metrics 的问题。面试中 metrics 的问题，本质上一切都是为了产品迭代和用户增长以及变现。

关于产品中被问到的 A/B testing 的问题，很多是面试官为了考察你是否能针对特 定的情况来分析 A/B testing 的结果。只看 P-value 是非常学生的思维，具体情况中的 A/B testing 是要从一开始的 new feature 的想法到后来设计整体的实验再到分析结果再到最后给建议的一整个流程。面试官想要的是一个批判思维，需要你对每一个步骤都扣的非常细 致，以此来确保实验和你的结论之间没有断层。

六、 Project

1. Projects/Competitions - Kaggle Kernels

https://www.kaggle.com/

2. Problem Solving Challenges - HackerRank

https://lnkd.in/g9Ps2cb

七、ExtraSkills

1. Communication - Data Storytelling

https://lnkd.in/gtiCSNT

2. Business Analytics- Geckoboard

https://lnkd.in/g2X-Xtp

3. NLP - How to solve 90% of NLP

https://lnkd.in/gh8bKe4

4. Recommendation Systems - Spotify

https://lnkd.in/gH2GQKu

5. Time Series Analysis - Complete Guide

https://lnkd.in/gFZU2Rb

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