# What data is needed for which output

<table data-full-width="true"><thead><tr><th width="266.64453125">Level</th><th width="380.4921875">Data Required</th><th width="657.7421875">AI – Predicting &#x26; Managing Demand</th><th width="800">AI – Scheduling &#x26; Allocating Supply</th></tr></thead><tbody><tr><td><strong>1</strong> – Basic</td><td>- Org team headcounts<br>• via directory integration or CSV<br>• manual input (CSV)</td><td>- Maintain accurate, up-to-date headcounts<br>• No forecasting or intelligent sharing at this level</td><td>- Auto-update space allocations, assignments or neighbourhoods to match current headcounts<br>• Instant block &#x26; stack planning</td></tr><tr><td><strong>2</strong> – Weekly Patterns</td><td>- Weekly attendance counts (anonymized)<br>• individual IDs matched to teams<br>• count of days attended per week</td><td>- Identify team-level in-office patterns<br>• e.g. 50% attend 1 day/week, 30% attend 2 days, 20% attend 3 days<br>- Classify “office personas”<br>• e.g. Type A: 5 days every other week (avg 2.5); Type B: avg 2.5 days/week<br>- <strong>Limit:</strong> no day-specific ratios → sub-optimal allocations</td><td>- Load-balance demand across weekdays<br>• Recommend which days employees should come in<br>- Match complementary schedules<br>• e.g. pair 1-day/5-day patterns with 4-day/2-day to maximize co-attendance</td></tr><tr><td><strong>3 (Recommended minimum)</strong></td><td>- Daily attendance (anonymized)<br>• did / did not attend each day<br>• IDs matched to teams</td><td>- Calculate <strong>daily sharing ratios</strong> per team<br>• e.g. Team Alpha: 2.7 people/desk (Mon), 2.1 (Tue), 1.3 (Wed), 1.9 (Thu), 3.2 (Fri)<br>- Predict <strong>peak weekly demand</strong><br>• e.g. Team Alpha peak 1.3 ratio → 8 desks for 10 people<br>- Compute <strong>team co-attendance scores</strong> (same-day % of team onsite)</td><td>- Auto-allocate the right number of desks per team, per day<br>- Optimize neighbourhood assignments<br>- Recommend day-swaps to boost same-day attendance</td></tr><tr><td><strong>4</strong> – Real-Time Insights</td><td>- Real-time attendance &#x26; location (per user)<br>• IDs matched to teams</td><td>- <strong>Live building capacity</strong> monitoring<br>• Enables on-the-fly re-provisioning<br>- <strong>Individual co-attendance recs</strong><br>• Detect low co-attendance patterns &#x26; suggest schedule tweaks<br>- <strong>Preferred space types</strong><br>• Track Wi-Fi/MAC to learn seating preferences</td><td>- Direct people to nearby desks or neighbourhoods based on real-time demand<br>- Push in-office day recs to individuals for better collaborator alignment<br>- Update future allocations by learned preferences</td></tr><tr><td><strong>5</strong> – Collaboration Driven</td><td>- Collaboration data (MS Graph, Google, Slack)</td><td>- Identify <strong>informal teams</strong> based on interaction frequency<br>• Reveal cross-org project groups<br>- Surface <strong>preferred collaborators</strong><br>• Correlate meeting locations with Wi-Fi/MAC footprint</td><td>- Auto-suggest new custom teams based on communication patterns<br>- When users span multiple teams, learn their true “home” teams via shared-wifi behavior</td></tr></tbody></table>