Employee chat app for ecommerce: how to run the shortlist

Most evaluations fail before they start

The usual pattern: someone gets frustrated, opens six vendor sites, builds a spreadsheet with forty rows of features, fills perhaps a third of it, loses momentum, and three months later the team is still on the tool that was frustrating everyone.

That is not a discipline failure. It is what happens when you start from what vendors publish rather than from what is going wrong. Feature matrices are infinite and every vendor optimises for having more checkmarks, so the exercise has no natural end.

Here is a process with an end.

Step one: write the incident list

Before looking at a single product, write down every coordination failure from the last quarter that you can actually remember. Aim for at least five. Be specific enough that a date and a person could be attached.

Good entries look like this:

• A product sold out on a Saturday and nobody noticed until Monday.
• Two people replied separately to the same customer complaint.
• A returning customer was promised a discount by one person that another person did not honour.
• The evening shift did not know a promotion had started.
• A contractor still had access to everything four months after the project ended.

Bad entries look like "communication could be better" and "we are disorganised". Those are feelings, and no tool can be evaluated against a feeling.

If you cannot produce five specific incidents, stop. You may not have a tooling problem, and buying software to solve a problem you cannot describe is how organisations end up with four tools that overlap.

Step two: sort into three buckets

Every incident is a context failure, an ownership failure, or an access failure.

Context failures happen when someone acted on information that was wrong, incomplete or out of date. The stockout nobody noticed. The stale order status.

Ownership failures happen when the information was fine and nobody acted, or two people acted. The duplicate reply. The task everyone assumed was covered.

Access failures happen when the wrong person could see something, or the right person could not. The contractor with lingering access. The evening shift out of the loop.

Count the buckets. The distribution is your requirements document, and it is usually lopsided in a way that surprises people. A team convinced they need better task management often finds that four of their five incidents were context failures, which points somewhere else entirely.

Step three: shortlist two, not six

Two. This is the step people resist and it is the one that makes the process finish.

Pick the two that best address your largest bucket. Ignore anything that is strong in your smallest bucket, however impressive. You are not buying the best tool, you are buying the tool that fixes your actual problem, and those are different purchases.

If you genuinely cannot narrow to two, that is a signal that step one was too vague. Go back.

Step four: design a trial that can fail

Most trials are structured so that they cannot produce a negative result. Two enthusiastic people use the new tool for a week, report that it is nice, and the organisation commits. That tells you enthusiastic people like new software, which was never in doubt.

A trial worth running has four properties.

1. A real team, not volunteers. Include the person who is sceptical. Include the part-timer. Their experience is the one that predicts adoption.
2. An ordinary week. Not launch week, not the quietest week of the year. You are testing the normal case.
3. A committed scope. "All operational conversation happens here from Monday." Running two tools in parallel produces no information, because everyone falls back to the familiar one at the first friction.
4. A pre-agreed end date. Two weeks. Write it down before you start, so the decision has a deadline.

Step five: measure three things

Not satisfaction. Satisfaction surveys after a two-week trial measure novelty.

Unprompted use. Did people open it without being reminded, particularly in the second week when the novelty had worn off? This is the strongest single predictor and it is easy to observe.

Incident recurrence. Did any of the failures from your list happen again during the trial, and if so, would the tool have prevented it had someone used it properly? Be honest about the difference between "the tool cannot do this" and "we did not use the thing that does this".

Onboarding time for the least technical person. How long until they were participating normally without help? This number predicts what happens when you hire six people in October.

Step six: decide, and write down why

One paragraph, stored somewhere findable, saying what you chose and which incidents drove it.

This matters more than it sounds. In eight months someone will suggest switching, and the argument will be much better informed if the original reasoning exists. It also protects against the common pattern where a team switches tools repeatedly without ever addressing a problem that was never about tools.

The thing to check before you buy anything

Go back to your incident list and ask a harder question of each one: would a tool have prevented this, or would it only have made the failure more visible?

Some coordination failures are capacity failures wearing a disguise. A team of three doing the work of six will drop things in any software. Some are clarity failures: if nobody knows who owns returns, no tool assigns them.

Software is good at context, ownership mechanics and access control. It is not good at making a stretched team less stretched, and switching tools is an expensive way to postpone a staffing conversation.

If your list survives that scrutiny, the shortlist is worth running. Store Huddle sits inside Shopify admin, which mostly affects the unprompted-use measure, and there is a free plan for up to five seats so a trial does not need a purchase decision first. Our decision guide covers whether you need one at all.

Common questions