Determine Tutorial Completion Rate by Variant in 7 Days

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PracHub provides an interactive SQL console where you can write and test queries against real database schemas. Get instant feedback and compare your solution with the expected output.

Q: What difficulty level is this coding question?

This is a medium difficulty Data Manipulation (SQL/Python) question, commonly asked during Onsite rounds at Confluent.

Q: What role is this question designed for?

This question is commonly asked for Data Scientist candidates at Confluent during technical interviews.

Question

users

| user_id | sign_up_at | tutorial_variant |
| 101 | 2023-08-01 | original |
| 102 | 2023-08-02 | variant |
| 103 | 2023-08-02 | original |
| 104 | 2023-08-03 | variant |
| 105 | 2023-08-03 | original |

​

tutorial_events

| event_id | user_id | step_index | event_time |
| 1 | 101 | 1 | 2023-08-01 10:00:00 |
| 2 | 101 | 2 | 2023-08-01 10:02:00 |
| 3 | 102 | 1 | 2023-08-02 11:00:00 |
| 4 | 104 | 1 | 2023-08-03 09:00:00 |
| 5 | 105 | 1 | 2023-08-03 12:00:00 |

##### Scenario

Confluent wants to understand the impact of two onboarding-tutorial variants (original vs variant) on tutorial completion.

##### Question

Given the tables below, write a SQL query that returns, for each tutorial_variant, the share of signed-up users who reach the maximum step_index (i.e., complete the tutorial) within 7 days of their sign_up_at date.

##### Hints

Join users with tutorial_events, find each user’s max step, compare to global max per variant, filter by 7-day window, then aggregate.

PracHub · Accepted Answer

This question evaluates a candidate's competency in data manipulation and event-based analytics, focusing on skills such as joining user and event tables, aggregating event data, and computing cohort completion metrics by variant.

Quick Overview

Determine Tutorial Completion Rate by Variant in 7 Days