By Hassan Yehia, founder of Clawser
A software demo usually answers one question: what can this tool do?
A sound buying decision needs five different answers. They concern the work the tool will touch, the information it will receive, the person who remains responsible, the result that counts as success, and the path out if the choice is wrong.
Those questions matter because technical function is only part of the experience. In CHOICE Consumer Pulse research, only 9% of respondents said AI is making products and services better quality. At the same time, 51% said AI chatbots for customer service make their experience much worse. The research covered 1,006 Australian households.
A tool can work as designed and still produce a worse experience for the customer. These five questions help a buyer test that risk before purchase.
- Can you name the task in one sentence? Start with this sentence: “This tool will help a named person do a specific task and produce a clear result.” “Help with marketing” is too broad to test. “Turn one weekly offer into three social posts for owner review” is a task. It names the input, the output, and the person who judges the result. If the sentence keeps growing, split the work into smaller tasks. Buy for the first task you can describe clearly. A vague job makes every later judgment vague as well: the trial has no boundary, the output has no standard, and disappointment has no clear cause.
- Where does the data go? Ask for written answers before customer information enters the tool. What information goes in: names, messages, files, payment details, or internal records? Where does it live: which service stores it, and for how long? Who can see it: which team roles, vendor staff, and connected applications have access? How is it used: is customer information used to train outside models? Start a trial with public information or sample records. Add sensitive material only when the answers are clear enough for the risk involved. Convenience is not a substitute for knowing the path your business information will travel.
- Who checks the output? Name the person who reviews the work before a customer or client relies on it. That reviewer has three jobs. First, read the draft, answer, quote, or report. Second, check facts, names, numbers, and tone. Third, approve it, correct it, or reject it. Consider a customer support reply. The tool may draft it quickly, but speed does not settle accuracy or judgment. The reply is ready only after the named reviewer approves the send. If nobody owns that review step, the business has not finished designing the workflow. It has only purchased a faster way to create unchecked work.
- What does good look like in numbers? Choose one result you can count before a short trial and again at the end of it. Useful measures include: minutes spent on routine replies each week; inquiries answered on the same business day; mistakes caught before work reaches a customer. Record the starting count before the trial begins. Then compare the same count under the same conditions. If the number does not improve, the tool has not earned a wider role in the business. A number does not capture everything, and it should not replace judgment. It does give the decision a memory. Without one, the loudest opinion in the room decides whether the purchase worked.
- Can you stop using it? Run the exit test before you pay, while leaving is still easy. Export sample work and account information. Confirm that the files arrive in a format another tool can open. Find the cancellation step. Ask what happens to stored work after cancellation. If your work cannot leave with you, the purchase creates dependence. That may still be an acceptable choice for a valuable tool, but it should be a conscious choice made with the cost in view.
A practical way to decide: pick one tool and one contained task. Write the task in one sentence. Record where the data will go. Name the reviewer. Count the starting result. Confirm the export path. Run the trial for one week. Review the counted result, inspect the output, and ask the people affected by the work what changed. Expand the role only when the evidence supports it.
The goal is not to buy less technology. The goal is to buy technology that fits real work, respects the information entrusted to it, and remains answerable to a person.
AI disclosure: This article was created with AI assistance at the direction of Hassan Yehia, founder of Clawser.