Understanding your forecasting data

Understanding Forecasting: See 12 Months into Your Hybrid Future (How gospace gives you 90–94 % accurate visibility of exactly who is coming in, when, and how much space you really need)

Why Forecasting Is the Foundation of All Three Value Pillars

Accurate forecasting is what makes the other two promises possible:

Without accurate forecasting	With gospace forecasting (90–94 % accuracy)
You over-allocate desks by 40–60 % “just in case”	You know the exact number needed every day → safe consolidation
You guess which teams will be in together	You maximise natural co-attendance and co-location
Real-estate decisions are based on gut feel	You have board-ready data to close floors, renegotiate leases, or open new space

Clients typically move from “We think Tuesdays are busy” to “We know exactly how many desks and meeting rooms we need every day for the next 12 months” within the first week

The Forecasting Dashboard – Your Single Source of Truth

Go to Admin → Forecasting (or click the crystal-ball icon in the main navigation)

Setting	What it shows	Typical use-case
Date or date range	Single day → 12 months ahead	“Show me every Wednesday from now until December 2026”
Average vs. Peak view	Average = typical day; Peak = 95th percentile (what you actually need to plan for)	Average = day-to-day ops; Peak = lease & consolidation planning
Granularity toggles	• By Location / Building / Floor • By Team (Level 3–8) • By Individual (probability %)	“How many desks does Engineering-L7 actually need on Thursdays in Q3 2026?”
Day-of-week heat-map	Colour-coded Mon–Fri grid showing forecasted headcount (darker = busier)	Instantly spot the new “Wednesday + Thursday” peak pattern
Team demand table	Exact desk & room demand per team, per day of the week, for the selected period	Export this table straight to your real-estate committee
Individual probability view	Every employee’s % chance of being in on any given day (with historical vs. forecast comparison)	“Sarah now has an 87 % chance of being in on Wednesdays – up from 34 % pre-gospace”

What You Can Answer in <30 Seconds

Question Leadership Always Asks	Where to click	Real client example (GSK)
How many people will be in next quarter?	Select date range → Peak view	“1 842 average, 2 631 peak on Wednesdays”
Which teams drive the peaks?	Toggle “By Team” + Peak view	“Data Science + Trading are the two biggest drivers on Wed/Thu”
Can we close Floor 8 from September?	Run Consolidation Simulation using the forecast as the demand source	Saved £2.7 m (actual)
What does Christmas week look like?	Select 22–31 Dec → Average view	“<18 % of normal headcount – perfect time for maintenance shutdown”
How is the new 4-day RTO policy landing?	Compare historical vs. forecast probability for individuals	“Average individual probability up from 61 % → 84 % on in-days”

Accuracy & Continuous Improvement

Forecast horizon	Typical accuracy (live client average)	How we keep improving it
Next 7 days	94–97 %	Calendar + intention signals + same-day badge data
8–30 days	91–94 %	Historical patterns + meeting invites
31–90 days	89–92 %	Seasonality + policy changes
91–365 days	84–90 %	Long-term trends + headcount planning data

The model retrains daily and automatically incorporates any new policy (e.g., “Wed–Thu core days”) the moment you set it.

Quick Actions from the Forecasting Dashboard

• Export → CSV / PDF / PowerPoint (board-ready in one click)

• Feed directly into a Consolidation Simulation

• Create a “Forecast vs. Actual” report (proves ROI to leadership)

• Share a read-only link with your real-estate partner or broker

Next Step for You

1. Open Forecasting right now

2. Select the next 12 months → Peak view → By Team

3. Screenshot the day-of-week heat-map and the top-10 teams table

That single screenshot is worth millions in lease negotiations.