Who Really Wrote Your Office Evaluation Framework?

Suppose your team has been handed an evaluation framework for your upcoming office search. It has columns, weightings, a scoring rubric. It looks rigorous. The question worth asking before you fill in a single cell is: who built this, and what did they want it to find?

Evaluation frameworks are not neutral. Every weighting reflects a priority, and every omission reflects something the author either did not value or did not think to include. If the framework was built by someone with a preferred outcome, the scoring will tend to confirm that outcome regardless of which buildings you visit. Knowing how to read a framework critically is a practical step in any office search, whether you are doing it yourself or working with an office broker in the UK.

The First Signal: What the Framework Measures and What It Ignores

A framework that weights location and headline rent heavily, but assigns no score to service charge transparency or break clause terms, tells you something. It tells you the author cared about the visible cost and the postcode, and was less concerned with what you will actually pay once you are in, or how easily you can leave if circumstances change.

The questions worth asking here are straightforward:

• Does the framework include a line for total occupancy cost, or only headline rent?
• Is there a row for notice period and break clause conditions?
• Does it score fit-out quality and condition separately from the building's overall grade?
• Is there a field for service charge history, or just the current quoted figure?

If the answer to any of these is no, the framework is incomplete. That does not mean it was built in bad faith. It may simply mean the author had not run enough office searches to know what bites you later. Our guide to the true cost per desk covers the categories that headline figures routinely omit, and it is worth cross-referencing before you finalise any scoring template.

The Second Signal: How the Weightings Were Set

Weightings are where bias hides most comfortably. A framework that gives location a weighting of 40 and fit-out condition a weighting of 5 is not balanced; it is a location decision dressed as a thorough evaluation.

Ask whoever produced the framework:

• How were these weightings decided, and by whom?
• Were they set before or after a preferred shortlist was identified?
• Do the weightings reflect what the business operationally needs, or what the person running the search finds easiest to compare?

For example, a team that relies on daily client visits might reasonably weight location and transport links highly. A team that works mostly internally and values stability might weight lease flexibility and total cost more heavily. Neither is wrong. What is wrong is applying generic weightings to a specific team's situation without checking whether they fit.

If the weightings were set by a single person without input from the people who will actually use the space, the framework reflects one perspective. That may be fine if that person has deep knowledge of the team's needs. It is a risk if they do not.

The Third Signal: Whether the Framework Can Actually Distinguish Between Options

A well-built evaluation framework should be able to produce meaningfully different scores for different buildings. If every building you visit scores between 72 and 78 out of 100, the framework is not discriminating. It is averaging.

This happens when:

• Too many criteria are binary (yes/no) rather than scaled
• The scoring bands are too wide to capture real differences in quality
• Criteria that vary significantly between operators (such as service charge structure or break clause flexibility) are given low weightings, so they cannot move the total score much even when there are large differences between options

A practical test: before you visit any buildings, run a hypothetical. Score a space that has everything you want against one that has almost nothing you want. If the scores are within 10 points of each other, the framework cannot do its job.

This is also where working with an office advisor can add a specific, practical function. Ask any adviser you work with which criteria vary significantly across the buildings they have compared, and which tend to be consistent. That knowledge can help shape a framework that discriminates usefully rather than one that averages across options.

The Fourth Signal: Whether Conflicts of Interest Are Declared

This applies whether the framework was built internally or by an external party. Any adviser, including us, who is paid by operators rather than by you has a structural interest worth understanding. That does not make the advice wrong, but it is a fact the framework should account for.

Ask any office broker or office advisory service:

• How are you paid, and by whom?
• Do you receive different fees from different operators or buildings?
• Are there any operators you do not work with, and why?

These are reasonable questions and any adviser worth working with will answer them directly. If a framework was built by a party that earns more from one type of product than another, check whether those products score unusually well. The pattern may be coincidental. It may not be.

Our post on building an independent office shortlist covers this tension in more detail. Ask any adviser whether their operator relationships differ by region and how that might affect the options presented to you.

The same logic applies to internally built frameworks. If the person who built the scoring template has a strong preference for a particular area, building type, or operator, and that preference was formed before the search began, the framework may be structured to confirm rather than test that preference.

What a Robust Framework Actually Contains

For reference, a framework built to serve the occupier rather than any other party should include, at minimum:

• Total occupancy cost per desk per month, including service charges, utilities, and any mandatory add-ons, not headline rent alone
• Break clause and notice period terms, scored on flexibility relative to the team's growth uncertainty
• Fit-out condition and specification, assessed independently of the building grade
• Lease or licence type, because the legal structure affects your exit options significantly (see our guide to lease, licence and management agreements for the distinctions that matter)
• Transport access scored against the actual commute patterns of the team, not a generic city-centre proximity measure
• Operator financial stability, where assessable, because a serviced office operator entering difficulty creates real disruption for occupiers
• Service charge transparency: is the charge fixed, estimated, or reconciled annually? What has it done in previous years?

These are questions worth raising before you commit, rather than after.

One Thing to Do This Week

If you have an evaluation framework already, or are about to build one, take 20 minutes to do this: list every criterion in the framework, then for each one ask whether it measures something that will affect your team's day-to-day experience or your total cost over the lease term. If a criterion does neither, remove it or reduce its weighting. If a criterion that does both is missing, add it.

Then check the weightings against your team's actual priorities. If you are a 12-person team on a tight budget with uncertain headcount, lease flexibility and total cost should carry more weight than building grade or postcode prestige. If your framework does not reflect that, it is not your framework yet.

If you would like a second opinion on what your framework is missing before you start visiting buildings, send us your brief and we will tell you what questions we would add for your specific situation.