Vendor evaluation checklist: 32 questions to ask before you buy lab software
A vendor evaluation checklist for R&D, lab operations, and IT leaders comparing an ELN, a LIMS, or a unified platform.
The most reliable way to evaluate lab software vendors is to ask every vendor the same questions and have each answer demonstrated live, not described. A demo can make almost any lab platform look capable, but the harder question is whether it will work when your data, workflows, and teams become more complex. This checklist gives R&D, lab operations, and IT leaders 32 questions to use with any ELN, LIMS, or unified platform vendor.
Evaluations often focus on visible features while overlooking the things that determine long-term value: data structure, configurability, integrations, implementation effort, usability, and total cost.
A disciplined evaluation process makes those trade-offs visible before a contract does. It helps cross-functional stakeholders compare vendors against the outcomes they need, rather than against the quality of a presentation. The checklist is built to be printed once per vendor and checked off live during the demo.
What are the red flags in a lab software demo?
The clearest red flags in a lab software demo are a capability deferred to a future roadmap, a refusal to show the system running on your data or a realistic equivalent, and integration answers that stop at "we can integrate with anything." Also watch for a lack of reference customers with a similar workflow, and answers that shift between the sales demo and the technical validation session.
Who this checklist is for
This checklist is for R&D, lab operations, and IT leaders comparing an ELN, a LIMS, or a unified platform. Because every vendor answers the same questions, the checklist works for any of the three. If you have not yet decided which category you need, read the companion guide, ELN, LIMS, or unified platform: which does your R&D team actually need?
For a one-page overview of how Uncountable approaches this, read the solution brief The Uncountable platform overview: from first experiment to finished product.
What's inside
Inside this checklist:
- 32 questions across seven evaluation categories
- Questions on data models, workflow flexibility, and integrations
- Criteria for usability, scalability, and implementation
- Total-cost considerations beyond license fees
- Seven red flags to watch for during evaluation
- A printable format to complete once per vendor during the live demo
Download the checklist and evaluate the platform behind the demo, not just the features shown on the screen.
FAQs
Before you buy, ask a LIMS or ELN vendor about seven areas: how the data model handles multiple measurement types, what instrument integration involves and who maintains it, what migration from your current system loses, how scientists retrieve historical data, what the AI gets wrong today, how access is controlled across R&D, QC, and IT, and the all-in three-year cost.
The Uncountable Vendor Evaluation Checklist covers 32 questions to ask any ELN, LIMS, or unified platform vendor, grouped into seven categories from data model to total cost, plus seven red flags to watch for. The checklist is designed to be printed once per vendor and checked off live during each demo, and it is available without a form.
Whether to choose an ELN, a LIMS, or a unified platform depends on your bottleneck: capturing experimental work, managing samples and tests, or connecting the two to quality and product data. The companion Uncountable guide walks through all three options and where each breaks down, while the Vendor Evaluation Checklist applies to any of them.
Lab software costs more than license fees. Buyers should ask each vendor for an all-in three-year cost that includes implementation effort, configuration, instrument integration and who maintains it, migration from the current system, and the time it takes scientists to adopt the new system. Comparing all-in cost keeps a low license price from hiding a larger total.
A lab software vendor should demo on your own data, or a realistic equivalent, because polished sample data can make almost any platform look capable. Seeing your measurement types, workflows, and historical records in the system shows whether the data model and integrations actually fit. A refusal to do this is one of the clearest red flags in an evaluation.
