Compare Survey Satisfaction for New and Established Users

Question

The question asks the candidate to compare survey satisfaction scores between new and established users, utilizing SQL or Python for data manipulation and analysis.

Codemia · Accepted Answer

To compare survey satisfaction scores between new and established users, I would first define the criteria for 'new' and 'established' users. Typically, new users might be defined as those who have signed up within the last 30 days, while established users could be those who have been active for more than 6 months. I would then gather the relevant survey data, ensuring it includes user type and satisfaction scores.

Using SQL, I would write a query to select the satisfaction scores grouped by user type. Here is a sample SQL query:

```sql
SELECT user_type, AVG(satisfaction_score) AS average_score
FROM survey_responses
WHERE user_type IN ('new', 'established')
GROUP BY user_type;
```
This query calculates the average satisfaction score for both new and established users, allowing for a direct comparison.

After obtaining the average scores, I would analyze the results to identify any significant differences. For instance, if new users have a significantly lower satisfaction score, I would investigate potential causes such as onboarding issues or feature usability. Additionally, I would visualize the data using a bar chart to clearly present the comparison to stakeholders.

Based on the analysis, I would provide insights into how the company can improve the experience for new users. For example, if the data shows that new users struggle with certain features, I might recommend enhancing onboarding tutorials or simplifying the user interface. This analysis not only informs product development but also supports strategic decisions aimed at improving user retention.

It is important to consider external factors that might influence satisfaction scores, such as seasonal trends or recent changes in product features. I would also emphasize the need for continuous monitoring of user feedback to adapt strategies effectively. Finally, I would highlight the importance of segmenting users further to uncover deeper insights.

Compare Survey Satisfaction for New and Established Users

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