When I evaluate a SaaS vendor, I focus on the ecosystem around the product, not just the interface. This is the structured pass I use.
1) Ownership and Jurisdiction
- Where is the company legally based?
- Who owns it?
- VC-backed, bootstrapped, or part of a larger group?
- Who are the listed subprocessors?
Trust pages are often revealing. If data crosses multiple legal regimes, risk posture changes early in the process.
2) Compliance Posture
- SOC reports
- GDPR statements and DPA availability
- HIPAA support where relevant
- AI Act positioning
- Whether compliance is gated behind enterprise tiers
If a product claims SMB fit but places DPA access behind enterprise pricing, that is immediate friction for regulated buyers.
3) Data Portability and Account Exit
- Can I import cleanly?
- Can I export fully?
- Is the API usable in practice?
- Can account deletion be done transparently in the dashboard?
I prefer mature deletion flows with explicit confirmations (for example, typing the account name). If exit requires emailing support, integration risk increases.
4) Community and Sentiment
- Official docs
- Glassdoor
- Trustpilot
- LinkedIn leadership and tenure patterns
Every source has bias. I treat them as signals. Leadership churn, for example, can suggest roadmap instability.
5) Alternatives and Open Source
If open source alternatives exist, I assess license fit (MIT, Apache 2.0, GPL variants) against operational context. The goal is clarity, not ideology.
6) Pricing Reality
- Post-intro pricing behavior
- Tier feature gaps
- Automation limits
- API rate caps