Satisfaction with AI tools
Our analysis
AI most improves satisfaction with debugging (66%), documentation (61%), and implementation (60%). Implementation is also most polarizing: 20% report decreased satisfaction.
Question
When using AI tools or AI agents at work, which of the following have increased or decreased your usual satisfaction with completing the task? Select one answer for each.
- scale
- Optional
- v2026.1
Data
| Greatly decreased | Somewhat decreased | No change | Somewhat improved | Greatly improved | |
|---|---|---|---|---|---|
| Architecture exploration | 4.5% | 4.8% | 35.8% | 31.9% | 22.9% |
| Communication | 10.0% | 7.9% | 49.5% | 19.2% | 13.5% |
| Debugging/refactoring | 4.3% | 6.2% | 23.4% | 35.7% | 30.4% |
| Design | 5.8% | 7.3% | 39.4% | 28.7% | 18.9% |
| Documentation | 4.6% | 5.2% | 29.6% | 27.9% | 32.7% |
| Implementation | 8.2% | 11.7% | 19.9% | 33.6% | 26.5% |
| Review | 5.3% | 6.6% | 32.8% | 32.3% | 23.0% |
Use this data
The Markdown table shows one column per segment; the CSV and JSON carry every measure.
Response data is released under the ODbL 1.0, which asks that you attribute it.
Structured for code, with the question, the year and the source url alongside the numbers.
A formatted table, ready to paste into a document, an issue or a prompt.
Spreadsheet
.csv is a plain text format which most spreadsheet software can open.