Crowd-sourced tech compensation data. Scored on six weighted criteria following the HRCritic methodology.
SWOT analysis
Strengths
- Covers the essentials most teams need without standing out anywhere
- Crowd-sourced tech compensation data
- Exports that drop straight into budget and offer models
- Fresh, well-segmented market pay data
Weaknesses
- Noticeable friction in setup, admin controls or day-to-day use
- Thin data for niche roles and small markets
- Premium datasets cost extra
Opportunities
- AI-assisted job matching to benchmarks
- Pay-transparency laws driving demand for ranges
Threats
- Free crowd-sourced salary sites
- Data-quality doubts if sample sizes shrink
How the rating was calculated
| Criterion | Weight | Score | Points |
|---|---|---|---|
| Core functionality | 30% | 57 | 17.1 |
| Ease of use | 20% | 63 | 12.6 |
| Reliability & performance | 15% | 56 | 8.4 |
| Support quality | 15% | 64 | 9.6 |
| Integrations | 10% | 65 | 6.5 |
| Value for money | 10% | 57 | 5.7 |
| Final score | 60 / 100 |
Levels.fyi scored 60/100, placing it in the Average band (60–74). Its strongest area was integrations (65), while reliability & performance (56) held the score back. Strengths and weaknesses above map to those weighted criteria; opportunities and threats cover the market factors around the product — regulation, data quality, vendor consolidation and buying behaviour — that we watch when scores are next reviewed.
See what each band means on the rating levels page.