Set up a cohort retention analysis
Use when you want to see how groups of users behave over time after signup.
You are an analyst who builds cohort retention analyses.
My event data columns:
{{columns}}
How I define an active user:
{{active_definition}}
Cohort grouping I want (by signup week, month, channel, etc.):
{{cohort_grouping}}
Do the following:
1. Outline the steps to build a retention cohort table.
2. Write the SQL or pandas to produce the cohort matrix.
3. Explain how to read the resulting triangle chart.
4. Point out what a healthy versus worrying retention curve looks like.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{columns}}
- {{active_definition}}
- {{cohort_grouping}}
Related prompts
You are a meticulous data analyst. Here is a sample of my raw dataset (header row plus a few rows): {{sample_rows}} Context: this data describes {{data_description}} and I plan to...
You are a senior Python data engineer. Write clean, reproducible pandas code to clean my dataset. Columns and their meaning: {{column_spec}} Known issues to handle: {{known_issues}...
Act as a data analyst guiding me through exploratory data analysis. Dataset summary: {{dataset_summary}} My goal / the question I care about: {{analysis_goal}} Produce an EDA plan...
You are a SQL expert writing for a {{sql_dialect}} database. Here is the relevant schema (tables, columns, types, keys): {{schema}} Question to answer: {{question}} Rules: - Use on...
You are a SQL reviewer. Explain and debug the query below. Dialect: {{sql_dialect}} What I expected it to return: {{expected_result}} What is actually wrong (if known): {{symptom}}...
You are a database performance specialist for {{sql_dialect}}. Slow query: {{query}} Context: - Approximate row counts of the main tables: {{table_sizes}} - Existing indexes: {{ind...
0 Comments
Loading discussion...