Sagar_ux Profile picture
16 Oct, 10 tweets, 4 min read
Fundamentals of Analytics and metrics- A thread

Summary of guest session by @Deepak_Singh100 at @10kdesigners Masterclass

A designer should understand data because- ❓

1. Helps, quantify the Improvement- Feedback loop for your design choices. 👇

• You can get measurable insights on how exactly your design performed and impacted users.

2. Data helps you improve the product and backs your design decisions💹

3. You don't want to build something based on someones's opinion 🧠

4. Helps you level up as a designer, to become world-class. 👑

Key Fundamental terms you should be familiar with-

1. Session- Session-duration is defined as the time frame during which there are regular active interactions occurring from a user on your platform. ⌛️

2. New user Vs Returning user 😍

3. Pageviews- How many views does each page/screen of the platform 👀

4. Bounce rate- measures the percentage of customers who visit a site one time and then leave.↗️↪️

5. Average session duration- Duration of each session during the date range you specify and divides that sum by the total number of sessions.⏰

6. Segment- You can look for data for a particular segment of your whole user base according to demographics, age, gender etc🔞

Some more important metrics for designers to consider-

• Conversion☑️

• Page load time🕗

• Time spent per user⏲️

• CTR ( Click through rate)🖱️

• Demographic distribution- Age, Gender, Geography🗺️

• Technographic distribution- Devices, Screen size, Network📲

So, what are some common tools that can be used to gather this data-

1. Google analytics - This is the most common tool that most of the organizations use to track data around products.

2. Mixpanel

3. Amplitude

4. Omniture

5. Localytics

Don't always trust the data-

Pro tip-1 ✅

Know the difference between- Correlation and Causation.

This diagram explains this concept👇

Pro tip-2✅

Get insights from both Qualitative and Quantitative data

❗️Quantitative data explains- What is wrong?

❗️Qualitative data explains- Why it is wrong?


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