Importance of information accuracy
Our analysis
Accuracy is the expectation for official docs, API documentation, and code repos; chat tools and Stack Overflow face lower accuracy expectations.
Question
For each source, how important is it that information you use to operate is accurate?
- scale
- Optional
- v2026.1
- Carries forward KnowledgeQ
Data
| Important | Least important | Not very important | Somewhat important | Very important | |
|---|---|---|---|---|---|
| Code repositories or code comments | 27.6% | 0.1% | 0.7% | 6.3% | 65.2% |
| Coworkers or teammates | 34.1% | 0.1% | 0.7% | 8.4% | 56.7% |
| Customer, support, or sales information | 28.9% | 0.9% | 2.6% | 17.1% | 50.6% |
| Internal chat tools, such as Slack or Teams | 43.8% | 0.3% | 2.3% | 18.6% | 35.0% |
| Internal documentation (i.e. Design, product, or planning docs), wiki, or knowledge base | 35.9% | 0.2% | 1.2% | 11.9% | 50.9% |
| Manager or leadership | 30.8% | 0.1% | 0.8% | 8.6% | 59.6% |
| Meeting notes or transcripts | 37.0% | 0.9% | 3.8% | 23.8% | 34.5% |
| None of these | 14.3% | 9.2% | 5.1% | 16.3% | 55.1% |
| Not sure | 17.4% | 9.4% | 4.7% | 25.5% | 43.0% |
| Official docs | 21.7% | 0.1% | 0.7% | 5.0% | 72.5% |
| Past decisions or architecture records | 37.4% | 0.2% | 3.7% | 20.3% | 38.4% |
| Product, vendor, or API documentation | 25.3% | 0.0% | 0.8% | 5.5% | 68.4% |
| Project management or ticketing tools | 41.2% | 0.4% | 2.0% | 15.2% | 41.2% |
| Stack Overflow | 40.9% | 0.7% | 3.4% | 25.0% | 30.0% |
| Vendor forum | 36.0% | 0.5% | 3.2% | 22.1% | 38.2% |
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.