描述性分析的结果通常是生成报告(report),帮助各个业务部门更好的理解产品和用户。由于这些报告不能直接带来行为改变,而且需要周期性的更新,所以,应该尽量的将描述性分析自动化。 (2)预测性分析(predictive analysis)数据分析的核心竞争力 预测性分析提供对未来的指导,也是数据科学在业务中的主要应用。预测性分析回到的...
关于每个产品会有完整的Storybook,每个feature有一个deck,产品功能层面的基础资料是基于这个;此外,还会做第三方的采访:问买你产品的客户,问离开你的客户,来了解你的positiong有没有问题,你的messaging有没有问题;另外,内部会先试用;看analysis report;看RFP,看客户怎么描述你的产品;用Gong,把客户会议录下来,可以了解...
- 如果在现在这样的中型high tech公司在大半年内顺利按老板的大饼升职做manager或者lead(正式有2-3人report),对比过一年左右争取跳去大厂类似于Amazon L6 BA的ic,哪个对未来的发展更有累积? 现在的工作还是挺繁重的。所有有限的个人发展时间要用在刀刃上(以及躺平、hiking和switch上)。有迷茫焦虑也觉得小兴奋。虽然...
Gather competitive product analysis Once you understand how customers judge your product’s performance, you should carry out a product analysis report on your competitors’ products. Essentially you want to run the same customer surveys you’ve completed for your products on your competitors’ product...
Coming up with a hypothesis can be time consuming, but you need to make sure you have one and that you're confident you can prove or disprove it with the product analytics you have before you launch. Doing an analysis on dummy data before launching will help you test this, too. ...
The tested products were able to track and report on session performance for individuals and small constituencies. Prescribed sequences of browsing, clicks, object downloads and data input came under the definition of transaction while testing the products. The testing scenario was quite straight ...
- Merchandise Plus Charges Amount: The total Merchandise Plus Charges Amount for all items included on the report.Print Order Promotion Analysis Report (POPA) Contents SCVs Search Glossary Reports Solutions XML Index Product Performance Report (Shipped Totals) MK03_08r OMSCS 18.1 April 2019 OTN...
2. Journey Analysis For most product use cases, a user must go through a series of steps to reach the solution. Those use cases can occur over a long period of time, involving multiple users and multi-channel interactions (Macro Journey). Other use cases can be as short as a few produc...
✅ 4. Cohort analysis: analyze data of specific user groups that share an experience (for example, when they first signed up for a mailing list) to understand how these behaviors influence retention rates and CLV ✅ 5. Customizable dashboards and reports: create personalized dashboards to ...
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