|
Unactionable KPI Analysis Techniques - Avinash Kaushik |
 |
|
Web analytics is hard enough when your data is telling the truth, but it's downright impossible when your data is lying to you. The first step in solving this problem is to identify the metrics that can lie, mislead, or cajole you into believing something is important when it simply is not. In this video, Avinash Kaushik presents four such metrics along with multiple ways to improve these KPI's by changing how they are presented, simplifying them into their most basic forms, or combining them with other metrics.
Length: 32 min.
|
|
You will learn:
- Why we have way too much data and not enough insights
- The definition of a key performance indicator
- Why you should not trust averages and what you should trust instead
- How distributions overcome the limitations of averages
- Why percentages can be misleading
- How raw numbers can help clarify the meaning of percentages
- Why you should resist the temptation to set ratio "rules of thumb"
- Why you must setup proper incentives
- Why compound metrics are useless
|
|
{mos_fb_discuss:2} |
Analytics