Post-Occupancy Evaluation: A Practical Guide to Measure Lab Design Project Success 

A post-occupancy evaluation helps lab leaders measure how well a new or renovated space supports workflow, safety, usability, and changing research needs

Written byHelia Taheri, PhD andAntoinette Bunkley
| 5 min read
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A laboratory is never truly finished on move-in day. Design intent has to prove itself against daily operations, and that proof can only occur once researchers are running real experiments in the space. Post-occupancy evaluation (POE) is a structured process for gathering that proof, giving lab managers, leadership teams, and design partners a clear, data-driven, and evidence-based picture of whether a facility actually performs as it was intended. 

A successful POE begins with defining what the team wants to measure and how it will gather meaningful feedback. 

Define your parameters

Before any evaluation begins, the team needs a working definition of success. That could include equipment utilization, space utilization, collaboration metrics, workflow efficiency, or the type of research being supported. Without a defined target, you’ll have nothing concrete to evaluate.

Start with the fundamentals from the original design brief. Confirm that the lab can absorb equipment and process changes, as research priorities often shift from the original scope. Check that shared support spaces, including glass wash, tissue culture rooms, and equipment corridors were sized and located correctly for the researchers using them. 

When possible, conduct a comparable assessment before the move. The baseline can help the team identify where the new space improved operations and where problems remain. From there, verify that utilities, gases, and specialty equipment needs are in place. This is largely a checklist exercise, and lab managers are typically the best to lead it. A thorough POE goes further, asking whether people are using the space as intended or whether they are even aware of everything available to them.

Assess workflow under operating conditions

There are many factors affecting how workflow can be assessed under real-world operating conditions. Research labs, for example, run around the clock. Their function is largely fixed at the design stage, and is not often repurposed after occupancy. However, the way researchers actually use and move through the space can still shift over time, as equipment changes, research priorities evolve, or teams transition from an old facility into a newly designed one. 

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Because labs also tend to operate continuously rather than following predictable peak and off-peak cycles, a POE cannot actually time observations around "peak hours," as is the case with office facilities, for example. Instead, observations should focus on monitoring actual day-to-day usage patterns, to determine whether the space is functioning as the design intended. This approach helps identify any gap between the original design assumptions and how researchers are genuinely working within the space.

One recurring pattern worth watching closely: Underused space tends to get absorbed. If a lab includes room reserved for future headcount or equipment, current occupants may take it over for work they need to do today. Fortunately, this is predictable behavior, and a POE should document it. This documentation and assessment can be done through both qualitative and quantitative data analysis to guide next steps.

Quantitative data, such as utilization rates and satisfaction scores, reveals what is happening in the space. Qualitative data, drawn from open-ended responses and observations, reveals why and points toward solutions. 

POE analysis should look for both recurring themes and meaningful outliers. A pattern shared by many occupants signals a priority issue, while an isolated concern, such as an accessibility need, may still require more immediate attention despite low frequency. 

Scientists, technicians, support staff, and other lab users interact with the space in different ways, so gathering input across roles can reveal issues that may not be visible from a management perspective alone. 

Remember to distinguish subjective input from objective measurement. A researcher's report that a room feels cold is subjective. A thermostat reading of 68 degrees is objective, and strong evaluations take both into account.

Rather than treating differences between qualitative and quantitative results as conflicting, managers should treat them as complementary perspectives on the same problem. They should use both sets of results to identify where design assumptions and actual use diverge. From there, they can more easily create a plan of action with priorities and practical, occupant-informed responses.

Common tools include surveys built in platforms like SurveyMonkey, Microsoft Forms, or Qualtrics, along with structured interviews and focus groups. Structured observation is another method, ideally conducted during normal operating lab hours and structured enough to track specific behaviors. Occupancy and environmental sensors can supplement this by tracking space utilization, CO2 levels, temperature, acoustics, illuminance, and humidity.

Workflow evaluation should also extend beyond the lab's four walls. Adjacent shared spaces, such as gas tank storage rooms, liquid nitrogen areas, and autoclave rooms, affect day-to-day operations as much as bench layout, and they deserve a place in the evaluation.

Review safety, compliance, and ergonomics

Most institutions maintain an environmental health and safety (EH&S) group that sets lab-specific requirements. These can include personal protective equipment (PPE) standards and minimum operational standards and safe working procedures for fume hoods. A POE should confirm these requirements are being followed in practice, not just documented on paper.

Accessibility is a related but separate consideration. Research labs are often classified in a way that does not require them to be designed for accessibility, as accommodations can generally be made after the fact if a specific researcher needs them.  This is different in the case of teaching labs, that generally require a certain percentage of accessibility within the labAccessibility requirements are established early in the design phase; however, a POE should confirm that they have been implemented.

Create a process for ongoing improvement

A single evaluation is a snapshot. Repeating the evaluation over time can reveal trends that a single assessment may miss. 

Standardization is the basis of that process. Using the same questions and methods at each interval (typically every six to 12 months) makes results comparable and keeps the workload manageable. Surveys should include closed-ended questions, which makes the comparison between different intervals easier, while including a couple of open-ended questions to capture topics that are not mentioned in the closed-ended questions. 

Question design (in surveys, interviews, and focus groups) is important. Leading questions, such as asking how successful a space is rather than how well it functions, may produce inflated results. Loaded questions that bundle multiple variables, such as comfort with a chair and a desk in a single inquiry, make responses hard to interpret. Clean, single-variable questions produce data that hold up over repeated cycles.

Timing also matters. Wait at least six months after occupancy before the first evaluation to avoid skewed results from the “honeymoon period,” or an initial period of frustration. The minimum process for POE should include a survey with observation running in parallel. This first assessment may take a minimum of one month, but generally not longer than two, from survey design through analysis. (It’s important to note that, while this is essentially true for facilities of all sizes, the actual time required depends on the number of people available to conduct the evaluation and assess the findings—as well as any additional interviews, focus groups, or sensor analysis a group may choose to include.)

For lab managers, the value of a POE lies in what happens after the data is collected. Use the findings to prioritize safety, workflow, and usability concerns; determine which issues require training, process changes, maintenance, or capital investment; and assign clear owners and timelines for follow-up. Repeating the evaluation can then show whether those changes improved the space and inform future renovation and design decisions.

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Frequently Asked Questions (FAQs)

  • What is post-occupancy evaluation (POE)?

    Post-occupancy evaluation (POE) is a structured process that gathers data to determine whether a laboratory facility operates as intended after occupancy. It provides lab managers and design partners with an evidence-based assessment of the facility's performance.

  • What types of data are collected during a POE?

    A POE collects both quantitative data, such as utilization rates and satisfaction scores, and qualitative data, like feedback from users. This combination provides a comprehensive view of the facility's performance.

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