Review Methodology

How Metro Research evaluates, compares and scores automation and AI tools.

This page explains how we research the tools we write about, so you can trust our recommendations and understand their limits. We believe transparency is part of being genuinely useful.

Our sources

  • Official documentation & feature pages — to describe what each platform actually does.
  • Public pricing pages & changelogs — to model real cost and track how tools evolve.
  • Aggregated user reviews & communities — to capture real-world reliability, support quality and common complaints.
What we don’t do. We do not claim to run first-hand lab benchmarks of every tool, and we will never invent “hands-on testing” we didn’t perform. When something is our analysis or opinion, we say so.

What we score

Ease of use

How approachable the builder is for non-developers.

Features & integrations

Breadth of apps, modules and AI capabilities.

Pricing & value

True cost at low and high volume, and what you get for it.

Reliability & support

Uptime reputation, error handling and help resources.

Scalability

How well the tool grows from first automation to high volume.

Best-fit use case

Who each tool actually suits — and who should look elsewhere.

Independence & affiliate disclosure

Some links are affiliate links and we may earn a commission if you sign up through them, at no extra cost to you. Affiliate relationships never influence our scores or rankings. Sponsored links are marked clearly.

Corrections & updates

Tools change constantly. If you spot something out of date or inaccurate, please contact us and we’ll review and update it.