Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Lära Challenge: Automate a Product Report | Automating Product Management Workflows
Python for Product Managers

bookChallenge: Automate a Product Report

In product management, automating the creation of weekly reports saves time, reduces manual errors, and ensures stakeholders receive consistent updates. When generating such reports, follow best practices: organize your metrics clearly, use meaningful labels, and format the output for easy reading. Summarizing key data points like Daily Active Users (DAU), churn rate, and feature usage gives your team a quick snapshot of product health and engagement. Python makes this process straightforward by allowing you to calculate summaries and print well-formatted reports with minimal code.

12345678910111213141516171819202122
# Hardcoded weekly metrics weekly_metrics = { "DAU": [120, 135, 140, 125, 150, 160, 155], "churn_rate": [0.02, 0.025, 0.018, 0.022, 0.019, 0.021, 0.02], "feature_A_usage": [50, 60, 55, 53, 65, 70, 68] } # Summarize metrics average_dau = sum(weekly_metrics["DAU"]) / len(weekly_metrics["DAU"]) average_churn = sum(weekly_metrics["churn_rate"]) / len(weekly_metrics["churn_rate"]) total_feature_a_usage = sum(weekly_metrics["feature_A_usage"]) # Format and print report report = ( "Weekly Product Metrics Report\n" "----------------------------\n" f"Average DAU: {average_dau:.1f}\n" f"Average Churn Rate: {average_churn:.2%}\n" f"Total Feature A Usage: {total_feature_a_usage}\n" ) print(report)
copy
Uppgift

Swipe to start coding

Write a function that generates a formatted report summarizing weekly product metrics from the provided dictionary.

  • Calculate the average value of the "DAU" list.
  • Calculate the average value of the "churn" list.
  • Calculate the total sum of the "feature_B_usage" list.
  • Return a formatted string report with labeled lines for average DAU, average churn rate (as a percent with two decimals), and total Feature B usage.

Lösning

Var allt tydligt?

Hur kan vi förbättra det?

Tack för dina kommentarer!

Avsnitt 3. Kapitel 3
single

single

Fråga AI

expand

Fråga AI

ChatGPT

Fråga vad du vill eller prova någon av de föreslagna frågorna för att starta vårt samtal

Suggested prompts:

Can you explain what DAU and churn rate mean in this context?

How can I add more metrics to this report?

Can you show me how to customize the report formatting?

close

bookChallenge: Automate a Product Report

Svep för att visa menyn

In product management, automating the creation of weekly reports saves time, reduces manual errors, and ensures stakeholders receive consistent updates. When generating such reports, follow best practices: organize your metrics clearly, use meaningful labels, and format the output for easy reading. Summarizing key data points like Daily Active Users (DAU), churn rate, and feature usage gives your team a quick snapshot of product health and engagement. Python makes this process straightforward by allowing you to calculate summaries and print well-formatted reports with minimal code.

12345678910111213141516171819202122
# Hardcoded weekly metrics weekly_metrics = { "DAU": [120, 135, 140, 125, 150, 160, 155], "churn_rate": [0.02, 0.025, 0.018, 0.022, 0.019, 0.021, 0.02], "feature_A_usage": [50, 60, 55, 53, 65, 70, 68] } # Summarize metrics average_dau = sum(weekly_metrics["DAU"]) / len(weekly_metrics["DAU"]) average_churn = sum(weekly_metrics["churn_rate"]) / len(weekly_metrics["churn_rate"]) total_feature_a_usage = sum(weekly_metrics["feature_A_usage"]) # Format and print report report = ( "Weekly Product Metrics Report\n" "----------------------------\n" f"Average DAU: {average_dau:.1f}\n" f"Average Churn Rate: {average_churn:.2%}\n" f"Total Feature A Usage: {total_feature_a_usage}\n" ) print(report)
copy
Uppgift

Swipe to start coding

Write a function that generates a formatted report summarizing weekly product metrics from the provided dictionary.

  • Calculate the average value of the "DAU" list.
  • Calculate the average value of the "churn" list.
  • Calculate the total sum of the "feature_B_usage" list.
  • Return a formatted string report with labeled lines for average DAU, average churn rate (as a percent with two decimals), and total Feature B usage.

Lösning

Switch to desktopByt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedan
Var allt tydligt?

Hur kan vi förbättra det?

Tack för dina kommentarer!

Avsnitt 3. Kapitel 3
single

single

some-alt