Hi. There is someone who teaches completely how to use Mix panel

Hi. There is someone who teaches completely how to use Mix panel | Mixpanel Community

7 comments

· Sorted by Oldest

Muffaddal Q.
·
·
Hello Axel H. , the Mixpanel documentation has some great videos to start with. If you'd like, we can also do a one-on-one session to go over it together.
Muffaddal Q.
·
·
As the Head of Analytics, I am focused on building a data-driven culture at my company. I frequently conduct interactive sessions like this for my colleagues.
Axel H.
·
·
Hi Muffaddal Q.. I watched all Videos of MixPanel. I will start to read all docs. But i want to learn about how people use it. My main limitation is that analytics tools are not designed for someone who is truly starting from zero. Even though I have explored tools like Mixpanel, Hotjar, and Amplitude and understand their interfaces, I lack real-world context. I have not worked in an environment where there is a concrete business problem, defined KPIs, clear outcomes, or an existing product and company structure. I have not built dashboards based on real data, analyzed metrics to drive decisions, or translated insights into recommendations for stakeholders. I also have no real system to connect these tools to — such as integrating analytics with Slack, automating workflows with tools like n8n, documenting processes in Notion, or creating end-to-end data flows that grow in complexity over time. As a result, my experience is mostly theoretical and interface-level, not applied or decision-driven. How can I build a comprehensive case study for my portfolio—either as a side project or based on real client work—that demonstrates my familiarity with the tools, clearly checks off the skills recruiters look for in job descriptions, and enables me to confidently tell the story during interviews, even when technical assessments (take-home or whiteboard)—which I’m not sure will occur, but may—simulate real scenarios where I’m presented with a problem, shown an existing dashboard, and expected to explore it, ask the right questions, and walk through the full problem-solving process? Can you tell me if that happens?
Ansh A.
·
·
Axel H. If you've already gotten a hang of how to use Mixpanel by watching the videos, this is what you can do:
1.
Use the demo datasets in Mixpanel.
2.
Ask AI to generate some questions/ problem statements for you regarding the demo datasets.
3.
Solve them using Mixpanel, by building reports and dashboards
4.
That could be your side project.
On another note, I've published a free course around Mixpanel (super detailed) here. You can take a look. If you're looking for a paid 1-1 sessions, feel free to block some time with me to discuss further.
Muffaddal Q.
·
·
Axel H. As Ansh A. suggested, simulating real work is the best way to beat the "no experience" paradox. Here are three concrete projects you can build right now that directly address the skills recruiters look for: 1. The "Whiteboard" Project: Instrumentation & Tracking Plan This directly prepares you for the technical assessments you are worried about.
The Task: Pick a well-known product (e.g., Spotify, Uber, or Airbnb).
The Goal: Define their North Star Metric and break it down into input KPIs.
The Output: Create a "Tracking Plan" spreadsheet. Map which events (buttons clicked, pages viewed) and properties (user ID, price, region) are needed to calculate those KPIs.
2. The Dashboard Build (Using Demo Data) You don’t need to imagine the data. Mixpanel has public "Media" and "E-commerce" demo datasets pre-loaded with millions of events.
The Task: Access the Mixpanel Demo Data (in project settings).
The Goal: Build the KPIs you defined in step 1.
The Output: A comprehensive dashboard showing the health of the product/teams performance.
3. The "Insight" Case Study (The Differentiator) This is the most important step. Many candidates can build a chart; very few can tell me what to do with it.
The Scenario: Imagine a SaaS company trying to improve its First Purchase Rate.
The Analysis: Don't just show the funnel drop-off. Segment the data. Is it mobile users dropping off? Is it users coming from Facebook Ads? is there any particular behaviour that dictates the drop-off?
The Recommendation: Translate the data into a product change. Example: "I found that users who complete the tutorial convert at 20%, while those who skip it convert at 2%. Recommendation: A/B test making the tutorial unskippable."
Most candidates stop at step 2. If you can show step 3, a clear recommendation based on data, you will set yourself apart from the "tool experts."
Axel H.
·
·
✔️
Axel H.
·
·
👍

Muffaddal Q.
·
·
Hello Axel H. , the Mixpanel documentation has some great videos to start with. If you'd like, we can also do a one-on-one session to go over it together.
Muffaddal Q.
·
·
As the Head of Analytics, I am focused on building a data-driven culture at my company. I frequently conduct interactive sessions like this for my colleagues.
Axel H.
·
·
Hi Muffaddal Q.. I watched all Videos of MixPanel. I will start to read all docs. But i want to learn about how people use it. My main limitation is that analytics tools are not designed for someone who is truly starting from zero. Even though I have explored tools like Mixpanel, Hotjar, and Amplitude and understand their interfaces, I lack real-world context. I have not worked in an environment where there is a concrete business problem, defined KPIs, clear outcomes, or an existing product and company structure. I have not built dashboards based on real data, analyzed metrics to drive decisions, or translated insights into recommendations for stakeholders. I also have no real system to connect these tools to — such as integrating analytics with Slack, automating workflows with tools like n8n, documenting processes in Notion, or creating end-to-end data flows that grow in complexity over time. As a result, my experience is mostly theoretical and interface-level, not applied or decision-driven. How can I build a comprehensive case study for my portfolio—either as a side project or based on real client work—that demonstrates my familiarity with the tools, clearly checks off the skills recruiters look for in job descriptions, and enables me to confidently tell the story during interviews, even when technical assessments (take-home or whiteboard)—which I’m not sure will occur, but may—simulate real scenarios where I’m presented with a problem, shown an existing dashboard, and expected to explore it, ask the right questions, and walk through the full problem-solving process? Can you tell me if that happens?
Ansh A.
·
·
Axel H. If you've already gotten a hang of how to use Mixpanel by watching the videos, this is what you can do:
1.
Use the demo datasets in Mixpanel.
2.
Ask AI to generate some questions/ problem statements for you regarding the demo datasets.
3.
Solve them using Mixpanel, by building reports and dashboards
4.
That could be your side project.
On another note, I've published a free course around Mixpanel (super detailed) here. You can take a look. If you're looking for a paid 1-1 sessions, feel free to block some time with me to discuss further.
Muffaddal Q.
·
·
Axel H. As Ansh A. suggested, simulating real work is the best way to beat the "no experience" paradox. Here are three concrete projects you can build right now that directly address the skills recruiters look for: 1. The "Whiteboard" Project: Instrumentation & Tracking Plan This directly prepares you for the technical assessments you are worried about.
The Task: Pick a well-known product (e.g., Spotify, Uber, or Airbnb).
The Goal: Define their North Star Metric and break it down into input KPIs.
The Output: Create a "Tracking Plan" spreadsheet. Map which events (buttons clicked, pages viewed) and properties (user ID, price, region) are needed to calculate those KPIs.
2. The Dashboard Build (Using Demo Data) You don’t need to imagine the data. Mixpanel has public "Media" and "E-commerce" demo datasets pre-loaded with millions of events.
The Task: Access the Mixpanel Demo Data (in project settings).
The Goal: Build the KPIs you defined in step 1.
The Output: A comprehensive dashboard showing the health of the product/teams performance.
3. The "Insight" Case Study (The Differentiator) This is the most important step. Many candidates can build a chart; very few can tell me what to do with it.
The Scenario: Imagine a SaaS company trying to improve its First Purchase Rate.
The Analysis: Don't just show the funnel drop-off. Segment the data. Is it mobile users dropping off? Is it users coming from Facebook Ads? is there any particular behaviour that dictates the drop-off?
The Recommendation: Translate the data into a product change. Example: "I found that users who complete the tutorial convert at 20%, while those who skip it convert at 2%. Recommendation: A/B test making the tutorial unskippable."
Most candidates stop at step 2. If you can show step 3, a clear recommendation based on data, you will set yourself apart from the "tool experts."
Axel H.
·
·
✔️
Axel H.
·
·
👍