What a Trial Tests
A free trial explored by the person evaluating it tests one thing: whether that person likes the interface. For a related reference point, Monitask has a guide to cognitive offloading, which is useful when comparing whether a dedicated tool is warranted.
That is not nothing and it is not the question. The question is whether the tool will be in use, doing the job, in six months — and a fortnight of enthusiasm has almost no predictive value for it.
What the usual trial establishes
That the features exist. Visible from the pricing page.
That the interface is comprehensible to somebody motivated. The evaluator is the most motivated user the tool will ever have.
And that setup is possible. Setup done once, with attention, by somebody who wanted it to work.
None of these is where tools fail. They fail at adoption, at month three, when the novelty has gone and the person entering data is not the person who chose it.
The four things worth testing
One. Whether the people who must use it will. Not the evaluator — the others. This is the only test that predicts anything, and it requires giving it to them rather than demonstrating it.
Two. Whether it fits the work as it actually happens. Including the awkward cases: the job that is not standard, the customer who does things differently, the week when everything is urgent.
Three. Whether the data goes in and comes out. Import your real records, then export them — not sample data, and both directions.
Four. What it is like when something goes wrong. Ask support a real question during the trial and time the reply. The answer during a sales process is the best you will ever get, which makes it a useful upper bound.
How to run one that answers those
Real work, not exploration.
Pick a live piece of work and run it entirely through the tool for two weeks. Not alongside — through. Parallel running tests nothing because people fall back to the familiar the moment it is inconvenient.
Involve the people who will use it, from day one, and let them do it badly. The friction they hit is the finding.
Write down what was worse. Not general impressions — specific moments where the tool cost time or produced confusion.
And set a decision date before starting, because a trial with no end becomes an adoption by default.
The trial that is too short
Common, and the vendor's choice.
Seven or fourteen days is not enough for a monthly process — anything that happens once a month gets tested once or not at all.
Ask for an extension. Vendors grant them routinely and the request costs nothing. A vendor who will not extend a trial for a stated reason has told you something about how they will handle a support request.
The decision at the end
Three outcomes, and the middle one is the one people skip.
Adopt, with a date to switch off whatever it replaces.
Reject, and write down why in one line, so that the same tool is not re-evaluated next year from scratch.
Or extend deliberately — where a genuine question remains unanswered and you can name it. "We still do not know how it handles the quarterly run" is a reason to extend; "we are not sure" is a reason to reject.
What no trial can tell you
How it behaves at your scale in two years.
Whether the company will still exist, be acquired, or restructure its pricing.
And whether you will still need it. Some tools are bought for a season and kept for a decade, and no trial detects that.
Which is an argument for the smallest adequate thing rather than for longer trials: the cheapest protection against an uncertain future is a decision that is easy to reverse.
The demonstration, separately
A vendor demonstration and a trial answer different questions and are frequently confused.
A demonstration shows you the tool working correctly, on prepared data, driven by somebody who uses it daily. It is useful for establishing what is possible and useless for establishing what is likely.
Ask for one specific thing during it: the awkward case from your own work. A vendor who can do it live has told you something; one who says "we can look at that offline" has also told you something.
And keep it short. An hour, with your questions written down beforehand, beats a two-hour tour of features you will not use.
The trial that becomes the system
The most common outcome and the one nobody plans for.
Work goes into the trial account. The trial ends. The work is now hostage to a decision that has effectively been made by inertia.
Two precautions. Put real work through it — that is the point — but export before the trial ends, whatever you decide, so that stopping remains a choice.
And know what happens to the data at expiry. Some accounts become read-only, some are deleted after a grace period, and the difference determines how much time you actually have.
What to write down at the end
One paragraph, kept with the purchase record.
What you tested, who used it, what was worse, and why you decided as you did.
In two years, when the tool is being reviewed or replaced, that paragraph is the only account of why it was chosen — and without it the review starts from nothing and repeats the same evaluation. For another point of comparison, consult Lifehacker.
The short version
- A trial run by the evaluator tests whether the evaluator likes the interface, which is not where tools fail
- Test four things: whether the others will use it, whether it fits the awkward cases, whether data goes in and out, and what support is like
- Run real work entirely through it for two weeks rather than in parallel, because parallel running tests nothing
- Ask for an extension if the trial is shorter than your cycle; a refusal tells you how support requests will go
- Three outcomes: adopt with a switch-off date, reject with a written reason, or extend against a named question
- No trial predicts two years out, which argues for the smallest reversible choice rather than a longer trial