How We Test

Our testing process

Every tool reviewed on PM Tool Scout goes through the same hands-on evaluation process. I don't rely on screenshots from marketing pages or rehash feature lists from other review sites.

Step 1: Sign up and set up

I create a real account (free trial or free plan) and set up a test project that mirrors a typical PMO workflow: multiple task lists, dependencies, team assignments, and deadlines.

Step 2: Test AI features

I specifically test each tool's AI capabilities in realistic scenarios:

• Auto-generating project plans from a brief
• Writing and summarizing status reports
• Suggesting task assignments and resource allocation
• Predicting timeline risks
• Automating repetitive PM tasks

Step 3: Evaluate on criteria

Each tool is scored across these dimensions:

Criterion	What I look at	Weight
AI quality	Are AI outputs actually useful? Do they save time?	30%
Ease of use	Can a non-technical PM get value from AI features within 15 minutes?	20%
Pricing value	AI features vs. price. Are AI features locked behind expensive tiers?	20%
Integrations	Does it connect with the tools PMs actually use? (Slack, Jira, Google Workspace)	15%
Scalability	Does it work for a 3-person team and a 50-person team?	15%

Step 4: Write the review

I write first-person reviews with specific examples from my testing. Every pro and con comes from direct experience, not spec sheets.

What I don't do

• Accept payment for higher rankings
• Copy feature lists from vendor websites
• Review tools I haven't personally used
• Let affiliate relationships influence ratings

Keeping reviews current

AI features in PM tools change fast. I re-test tools and update reviews when major AI feature updates ship. Every article shows a "last updated" date so you know how recent the information is.

Questions about our process?

If you have questions about how a specific tool was evaluated, feel free to reach out. I'm happy to share more details about my testing experience.