Best PracticesLIMS Implementation

LIMS Projects Don't Fail From Bad Software. They Fail From These 5 Mistakes.

June 12, 2026  ·  Matt Citardi

I've seen the same costly mistakes show up again and again.

After 30+ years implementing LIMS across pharma, environmental, food and beverage, chemicals, manufacturing, and contract labs, I've seen the same costly mistakes show up again and again.

Here are the 5 that derail more projects than any technical issue ever will:

1. Selecting a LIMS before defining your workflows

Software can't fix a broken process. It just automates the chaos. Map your workflows first, then evaluate vendors against them.

2. Underestimating the data migration

Legacy data is messy. It's inconsistent, incomplete, and sometimes just wrong. Teams routinely budget 10% of the time this actually takes.

3. Treating validation as an afterthought

In regulated environments, validation isn't a checkbox at the end. It has to be baked into the project from day one. Retrofitting it costs twice as much and takes three times as long.

4. Leaving end users out of the process

The people who will live in the system every day are often the last ones consulted. That's how you end up with technically compliant software nobody actually uses.

5. Confusing go-live with done

Go-live is the beginning of adoption, not the end of the project. The labs that get the most value from their LIMS invest in what happens after launch.


These aren't hypotheticals. Every one of them has derailed real projects, at real labs, with real consequences. The good news is they're all avoidable with the right planning and the right experience in your corner.

This list only scratched the surface. If you want the fuller picture, I put together a longer breakdown, Top 10 LIMS Implementation Mistakes, covering everything from vendor selection to post-go-live support. Free download, no form to fill out.

Book a free 30-minute call. We'll take a look at where your project stands and which of these risks deserve your attention first.

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