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Running a free trial properly — reaching a decision in two weeks
Trials usually fail not because they are short but because they start without deciding what to establish. The last day arrives with only "seems fine".
Two-week procedure What to measure Trial traps
The short answer
Three things have to be decided before starting: which tasks you will test with, what you will measure, and what result justifies adopting. Without the last one, no conclusion arrives.
And some things can only be established during the trial: real usage volume, real review time, and actual team usage. Learning those after adopting is too late.
The two-week procedure
Three things you must measure during the trial
| Item | Why only now |
|---|---|
| Real usage volume | The vendor average does not match your pattern. Contract without measuring and the first invoice surprises you |
| Review time per item | Leave it out and the savings are overstated. Record the downward trend too, not just the starting figure |
| Actual team usage | One person testing tells you nothing about usage. Get at least three or four people using it on real work |
Trial traps
The most common trap is trial terms differing from paid. Training use, usage limits and administrative controls all differ, so a good trial experience may not reproduce on the paid tier.
Second is company data. Putting real internal documents into a trial tier before confirming terms is risky. Start with a de-identified sample and move to real data once the terms are confirmed.
Third is auto-renewal. Trials that convert to paid automatically are common. Put the end date and the cancellation method in a calendar on day one.
Frequently asked questions
Is a seven-day trial too short?
With five tasks fixed in advance, seven days is enough. What is short is the preparation, not the window. If it genuinely is not enough, ask the vendor for an extension — they usually agree.
Can we trial several products at once?
It is preferable. Running the same five tasks through two or three products simultaneously makes the comparison accurate. Sequential trials let the earlier experience distort the standard.
What if we entered data and then do not adopt?
Confirm the deletion request process and turnaround. The terms state how long trial account data is retained. If you are not adopting, see the account deletion through.
What if the conclusion is ambiguous?
Do not adopt. Adopting from ambiguity keeps usage low, and that tool consumes the budget and credibility of the next attempt.
Build the baseline
Decide the numbers first
The AI ROI calculator turns your current volumes and times into a table, giving the trial something to compare against.