1. Software gets better because developers know what’s breaking
Without telemetry, devs are basically flying blind.
With telemetry, they can see:
- which features people actually use
- which ones nobody touches
- which crashes happen most often
- which hardware configurations cause issues
This leads to faster fixes, fewer regressions, and smarter prioritization.
2. Performance tuning becomes grounded in reality
Telemetry shows:
- where apps slow down
- how long tasks take
- which code paths are hot
Instead of guessing, devs optimize based on real-world usage.
This is why Windows, Chrome, and VS Code get smoother over time.
3. Security improves
Telemetry can flag:
- unusual crash patterns
- exploit attempts
- misconfigurations
- outdated or vulnerable components
It’s one of the reasons modern OSes can respond quickly to zero‑days.
4. It reduces support friction
When users report bugs, telemetry gives context:
- OS version
- driver versions
- error logs
- hardware info
This saves everyone time and avoids the “works on my machine” dead end.
5. It helps prioritize features people actually want
Telemetry reveals:
- which workflows dominate
- which UI elements get ignored
- which new features flop or succeed
This prevents devs from wasting time on niche features while ignoring what the majority needs.
6. It enables better compatibility
Especially in the Windows ecosystem, telemetry helps ensure:
- drivers don’t break
- updates don’t brick systems
- new hardware works smoothly
- legacy software keeps running
This is part of why Windows supports such a ridiculous range of hardware compared to Linux.
7. It reduces update disasters
Telemetry-driven staged rollouts let developers:
- detect issues early
- pause updates before mass breakage
- fix problems before everyone gets hit
This is the opposite of the “push update -> pray” model.
A lot of the backlash is cultural, not technical:
- FOSS communities often equate telemetry with surveillance
- Some distros shipped telemetry badly (Ubuntu Amazon lens, etc.)
- People assume “data collection = spying”
- Many don’t distinguish between anonymous usage data and personal data
But responsible telemetry is anonymized, aggregated, and used to improve the product - not to track individuals.