The fastest way to make a bad software decision is to see two similar feature lists and assume one tool can replace the other. Start with overlap, then investigate the differences that matter.
Compare capabilities, not categories
Two products may both be labeled “collaboration” or “project management” while supporting very different workflows. Break the tools into concrete capabilities and identify which capabilities genuinely overlap.
Look at who is actually using them
Compare teams, active users, purchased seats, and available usage periods. A tool used heavily by one department and lightly by another may point to a licensing or ownership question rather than a cancellation opportunity.
Compare subscription costs with usage
Cost becomes more useful when you can see it alongside adoption and business purpose. Look for expensive licenses with little evidence of use, duplicate subscriptions across departments, and plans that may be larger than current needs.
Check the differences before calling something redundant
Ask what one tool provides that the other does not: integrations, security requirements, customer-facing workflows, historical data, specialized reporting, contractual commitments, or a capability used by a small but critical team.
Check purpose, ownership, usage, cost, and risk
- Purpose: Why was each tool purchased?
- Capabilities: Which functions actually overlap?
- Ownership: Who is responsible for each tool?
- Adoption: What usage evidence is available, and for what period?
- Cost: What is being paid and for how many seats?
- Dependencies: What workflows or integrations rely on it?
- Risk: What information is still missing before a decision can be made?
Turn findings into questions, not automatic cuts
A strong overlap analysis might surface “these two tools share most capabilities and one has low recent usage.” The next step is to verify the business context, not automatically cancel the lower-usage tool. That keeps the analysis useful without pretending the data knows more than it does.