Data analysis & reporting

A shared folder with AI prompts and code snippets

From workspace: OpenAI

Team: Open AI Academy

Total snippets: 5

OpenAI

Data analysis & reporting

5 snippets

Summarize feedback from user surveys

Summarize this user feedback CSV. Context: It includes ratings and open text responses from a recent survey. Output: Key themes, sentiment scores, and charts showing distribution of ratings.

Prioritize bugs based on impact

Analyze this bug report dataset. Context: Each row includes severity, frequency, and affected users. Output: A prioritized list of top bugs with charts showing frequency vs. severity.

Analyze performance test results

Analyze this set of performance test results. Context: It compares two versions of our backend service. Output: Side-by-side comparison charts + text summary of improvements or regressions.

Visualize system error rates over time

Plot error rates over time from this dataset. Context: It contains application logs from the last month. Output: A time-series chart with callouts for error spikes and a short interpretation.

Identify trends in product usage logs

Analyze this CSV of product usage logs. Context: We want to identify usage trends over time and across user segments. Output: Summary stats + line or bar charts highlighting key trends.