A workplace scenario planning policy defines how your organization evaluates future space needs before changing leases, layouts, seating assignments, or hybrid work rules. It should establish who can request a scenario, which assumptions teams must use, how options are compared, and who approves a decision. This template gives workplace, facilities, operations, finance, and people leaders a repeatable framework for turning uncertain demand into documented, reviewable choices.
Policy owner: [Workplace or facilities leader]
Effective date: [Date]
Review cycle: [Quarterly, semiannually, or annually]
Applies to: [Business units, locations, and decision types covered by the policy]
Purpose: This policy governs the creation, review, comparison, and approval of workplace scenarios. Its purpose is to support evidence-based decisions about capacity, space allocation, location strategy, seating models, and future workplace investments.
A scenario should be created when a workplace decision could materially affect capacity, cost, employee experience, or operational risk. Common triggers include:
Small operational changes may not require a full scenario. The policy owner should document a lightweight review path for decisions that affect only one team, one room, or a short-term operating period.
Every scenario should have a consistent record so reviewers can understand what was modeled and why. At minimum, include:
Use a central space management and forecasting system when possible so maps, inventories, assignments, and scenario assumptions remain connected. If information comes from spreadsheets or other systems, record the source and date for each major input.
Scenario reviews become unreliable when measured data and judgment calls are blended together. Label each input as one of the following:
For each assumption, document the owner, rationale, confidence level, and date for review. Do not present a forecast as a certainty. A useful scenario makes uncertainty visible and shows how the recommendation changes when important assumptions change.
The policy owner should maintain a shared data dictionary and define how each input is calculated. The following categories usually matter:
Define the level of detail before modeling begins. A portfolio decision may need location-level capacity, while a floor redesign may require room-by-room and seat-by-seat information.
Scenarios should answer the same decision question using comparable assumptions. Keep the baseline visible, then model a limited number of meaningful alternatives. For example, a review could compare:
Avoid creating options that differ in several uncontrolled ways. If one scenario assumes higher attendance, more hiring, and a different seating ratio, reviewers may not know which factor caused the result. Change one major variable at a time when testing sensitivity, then document combined scenarios separately.
Use the same planning horizon, cost treatment, capacity definitions, and service standards across options. If an input cannot be standardized, explain why and describe how the difference affects the comparison.
Before reviewing results, agree on the criteria that will determine whether an option is viable. Typical criteria include:
Use thresholds where a failure is unacceptable, such as an accessibility or safety requirement. Use qualitative ratings or a documented scoring method for tradeoffs that cannot be reduced to a single number. The method matters less than applying it consistently and explaining the reasoning.
The scenario owner coordinates the analysis and maintains the record. Workplace or facilities teams validate the space data. People or employee experience leaders review policy and workforce implications. Finance validates financial assumptions. Information technology, security, legal, or other specialists review relevant constraints. Business leaders confirm demand assumptions and approve impacts to their teams.
Assign a decision authority for each scenario type. For example, a workplace leader may approve a minor reconfiguration, while an executive committee may approve a lease decision. No scenario should be treated as an approved plan until the decision authority, date, conditions, and funding path are recorded.
An approved scenario is not the same as an implemented change. Create a handoff that identifies the actions required to make the decision real. These may include updating floor plans, changing assignments, configuring booking rules, communicating new expectations, ordering furniture, coordinating moves, or monitoring demand.
For complex changes, connect the scenario record to a move management and bulk move process. This helps teams distinguish the approved future state from temporary assignments and verify that the physical and digital workplace match the decision.
Set a review checkpoint before implementation begins and another after the change has been operating long enough to produce useful evidence. If the scenario depends on a pilot, define the pilot duration, success criteria, and decision that will follow it.
Forecasting does not end when a scenario is selected. The policy owner should track the assumptions that could change the decision, such as headcount, attendance, team structure, room demand, project timing, or lease milestones. Establish an exception threshold that triggers a new review. For instance, a significant change in projected demand, a new business requirement, or a failure to meet an agreed service standard may require the scenario to be reopened.
Keep superseded scenarios for an appropriate period rather than deleting them. A decision history helps explain why space changed, prevents repeated analysis, and improves future assumptions. Apply the organization’s data governance and retention requirements to employee and workplace data.
Capacity forecasting estimates future demand and supply. Scenario modeling uses those estimates to compare possible actions, such as reconfiguration, consolidation, expansion, or a change in seating policy. Forecasting supplies inputs, while scenarios support a decision.
Create enough options to show the meaningful tradeoffs, but avoid a large menu of minor variations. A baseline plus two or three credible alternatives is often easier to review than many nearly identical options. The right number depends on the decision, available data, and level of uncertainty.
The approval authority should match the decision’s cost, risk, and organizational impact. Define that authority in advance, then involve workplace, finance, people, business, and specialist stakeholders according to the scenario’s scope.
Document the gap, identify its likely impact, assign an owner, and use a clearly labeled assumption only when the decision cannot wait. Test whether the recommendation changes under plausible alternatives, and set a date to replace the assumption with better evidence.
A clear scenario planning policy turns workplace forecasting into a repeatable governance process. It gives leaders a common way to compare options, exposes uncertainty before money is committed, and creates an auditable path from evidence to implementation. For broader operational coordination, teams can connect these decisions with Tactic’s workplace management platform, including booking, space, requests, and workplace data in one operating workflow.