Feature Dashboards
Feature dashboards bring together deeper performance reporting for key verticals, helping you move beyond surface-level metrics to understand what's driving on-site presence and engagement.
Content dashboard
The Content dashboard helps you understand how tenants interact with your posts, events, and deals. Use it to identify what's resonating, optimize your content strategy, and drive more engagement across your portfolio.
When to use it: evaluating which content topics and formats drive engagement, identifying top-performing posts, understanding when and where tenants consume content, benchmarking tenant companies, and optimizing posting schedules.
Key metrics
| Metric | Definition |
|---|---|
| Reach Rate | Percentage of contacts who viewed at least one piece of content in the past 90 days. A low reach rate may mean content isn't surfacing effectively or your audience needs to grow. |
| Total Content Views | Total content page views across all posts, events, and deals over the past 90 days. |
| Action Rate | Percentage of viewers who took an action (clicking a CTA, RSVPing, claiming a deal). Only content with a CTA button counts as actionable. |
| Posting Cadence | Average number of new content posts that went live per week over the past 90 days. Consistent posting typically correlates with higher engagement, but quality matters more than quantity. |
Dashboard cards
| Card | What it shows |
|---|---|
| Content Engagement Funnel | Journey from total audience through viewers to people who took actions. A large gap between viewers and actions suggests your content needs stronger calls-to-action. |
| Content Topics | Views broken down by thematic topic (Amenities, Building Info, Food & Beverage, Local Happenings, Perks, Wellness). Align your content calendar with tenant interests. |
| Best Performing Combinations | Action rates for each content type (Event, Deal, Post) by category — e.g., Wellness may perform best as Events while Perks work better as Deals. |
| Content Performance Leaderboard | Individual pieces of content ranked by views and actions. High-view and high-action-rate content tell different stories. |
| Tenant Engagement Leaderboard | Tenant companies ranked by total actions. High-engagement tenants can serve as case studies; low-engagement tenants may need targeted outreach. |
| Top Individual Users | The 10 most engaged individuals by total actions — your building champions. |
| Content Types | Engagement compared across formats: Event, Deal, Post – Rich Media, Post – Standard Text, and Event (Legacy). |
| Content Engagement by Platform | Where tenants interact with content — Android app, iOS app, or web. |
| Performance by Day of Week / Time of Day | When engagement peaks. Schedule important content for high-traffic windows. |
Content use cases
| Situation | What it means | Recommended action |
|---|---|---|
| High reach rate, low action rate | Tenants see content but don't engage | Test stronger CTAs, more compelling offers, or different formats |
| High views on one topic | Clear tenant interest | Increase content frequency for that topic; consider related programming |
| Low posting cadence, high action rate | Quality over quantity is working | Maintain quality standards; cautiously increase volume |
| One tenant dominates the leaderboard | Single company driving engagement | Study what makes them engaged; replicate with other tenants |
| Mobile vs. web split | Audience has platform preferences | Optimize content formatting for the dominant platform |
Access Control dashboard
The Access Control dashboard helps you understand how tenants physically use your building — entry patterns, utilization trends, and which tenants and individuals are most present.
When to use it: understanding occupancy patterns and peak times, identifying underutilized tenants, tracking return-to-office trends, recognizing your most active users, and planning staffing around traffic patterns.
Key metrics
| Metric | Definition |
|---|---|
| Average Daily Scans | Current-period average daily access volume vs. the previous 90-day period. Increases indicate growing occupancy; decreases may signal a need for activation programs. |
| Average Tenant Utilization | Portfolio-wide average percentage of tenant employees using building access — your baseline utilization benchmark. |
Dashboard cards
| Card | What it shows |
|---|---|
| Peak Scan Distribution | The most common hour, busiest day, and typical user attendance. Optimize staffing, maintenance scheduling, and resources. |
| Traffic Patterns | Heatmap of hourly access volume across each day of the week. Identify peak windows and plan maintenance or events during low-traffic periods. |
| Building Utilization Funnel | Conversion from total credentialed employees → active access users → 3+ visits/week → 5+ visits/week (90-day averages). Reveals drop-off at each frequency level. |
| Tenant Utilization | Tenants ranked by average weekly scans, utilization rate, and total vs. active users. |
| Low Usage Tenants | Tenants below the portfolio-average utilization rate — flagged for engagement outreach, space reconfiguration, or lease optimization conversations. |
| Highest Attendance Users | Top 10 most frequent visitors over the past 90 days, with total active days and recency. |
| High Usage / Champion Users | Employees visiting 15+ times per month — your core occupant base and natural advocates for programs and initiatives. |
Access Control data sources
- Lenel NetBox (ACS) — full scan coverage including physical badge and wallet
- HID Origo BLE — mobile credential scans provisioned through HqO
⚠️ Note: Mobile Access utility button clicks are not included in Access/Utilization metrics — those count toward Awareness.
Access Control use cases
| Situation | What it means | Recommended action |
|---|---|---|
| High utilization on specific days | Clear peak patterns | Align programming and staffing to peak days; consider off-peak incentives |
| Large funnel drop-off | Many credentialed users never visit | Launch activation campaigns; survey non-users on barriers |
| Single tenant with low utilization | One company underusing space | Direct outreach; explore whether the space meets their needs |
| Declining average daily scans | Building traffic trending down | Investigate causes; consider return-to-office programming |
| Small core of high-frequency users | Few power users, many occasional visitors | Engage power users as champions; give occasional visitors reasons to return |
Resource Bookings dashboard
The Resource Bookings dashboard shows how tenants use bookable space — meeting rooms, desks, and amenities. Use it to see what is in demand, what sits idle, and what bookings earn.
When to use it: judging whether your bookable inventory matches demand, finding under-used resources or buildings, understanding weekly and day-of-week rhythms, seeing which tenants and individuals book most, and tracking booking revenue and credit programs.
Every card follows the Timeframe filter, which defaults to the last 90 days — except Resource Bookings over Time, which always shows the last 13 complete weeks so the trend stays comparable.
Key metrics
| Metric | Definition |
|---|---|
| Completed Bookings | Approved or pending bookings whose reserved time has passed, during the selected period, across all buildings. Cancellations, no-shows and denied requests are not counted. |
| Net Revenue | Booking payment volume kept after refunds — gross payment volume minus refunds. Includes taxes; excludes payment processing fees. |
| Total Hours Booked | Total hours reserved across all completed bookings in the period. Hours, rather than booking count, is the better read on how much space was actually consumed. |
| Unique Bookers | Distinct users with at least one completed booking in the period. Compare against your total occupants to gauge how broadly booking has been adopted. |
Each metric also shows a % change against the preceding period of equal length.
Dashboard cards
| Card | What it shows |
|---|---|
| Resource Bookings over Time | Completed bookings per week across the portfolio, with a weekly average. Always the last 13 complete weeks, regardless of the Timeframe filter. |
| Bookings by Day of Week | The share of completed bookings on each day, with the busiest day called out and weekdays distinguished from the weekend. Based on the day the booking took place. |
| Where It's Happening | Which buildings see the most resource usage, with hours booked, distinct users and active tenants per building. |
| Bookings by Resource | Individual resources ranked by completed bookings, with resource type, building, hours booked, and active tenants and users. The card to check before adding or retiring inventory. |
| Net Revenue by Resource Type | Net revenue by the kind of resource booked, with each type's share of the total. |
| Credits Redeemed by Tenant | Net credits each tenant has redeemed on bookings (credits applied minus credits refunded), and each tenant's share of the total. Shows where credit programs are actually being used. |
| Top Tenants | Tenant companies ranked by completed bookings, with hours booked and active users per company. |
| Top Users | The most active individuals across all tenants, by completed bookings and hours booked. |
| Recent Bookings | Every booking that ended in the period — one row each, with reservation date and time, tenant, user, resource, resource type, building, integration and status. Includes all outcomes (approved, pending, cancelled, no-show, denied), distinguished by the Status column; abandoned requests are excluded. Sortable, and filterable by status, building, resource type and integration. |
Resource Bookings use cases
| Situation | What it means | Recommended action |
|---|---|---|
| High booking count, low hours booked | Bookings are mostly short sessions | Worth checking that slot lengths and minimum durations suit how people work |
| A few resources take most bookings | Demand is concentrated on particular spaces | Consider adding similar inventory, and explore what would make the others more useful |
| Weekday peaks with a quieter weekend | A typical office rhythm | Concentrate cleaning and support on the busiest days; weekend programming is an option |
| Cancellations or no-shows in Recent Bookings | Plans change after people book | Reminders help, and releasing unclaimed reservations keeps the space available to others |
| Credits redeemed by one or two tenants | Room to grow awareness of the credit program | Share how credits work with the other companies |
| Unique bookers well below total occupants | Headroom to grow adoption rather than a capacity limit | Introduce the booking feature to more occupants before adding inventory |
Events dashboard
The Events dashboard shows how your event programming performs — which events fill up, who attends, when people sign up, and what it earns. Use it to plan future events around observed demand rather than guesswork.
When to use it: reviewing event performance after the fact, finding which topics draw sign-ups, scheduling events for when tenants actually register, identifying your most engaged tenant companies and individuals, and tracking paid-event revenue.
Every card follows the Timeframe filter, which defaults to the last 90 days — except Sign-up Patterns and Peak Sign-up Times, which always show the last 13 complete weeks so the weekly pattern stays readable.
Key metrics
| Metric | Definition |
|---|---|
| Total Events | Events that ended during the selected period, across all buildings. Upcoming events are not counted. |
| Total Registrations | Confirmed registrations for events that ended in the period. Cancellations and waitlist entries are excluded. One person can hold more than one registration for a multi-session event. |
| Check-in Rate | Total check-ins divided by total registrations, counted only for events with check-in enabled — so events run without check-in never drag the rate down. |
| Net Revenue | Event payment volume kept after refunds — gross payment volume minus refunds. |
Each metric also shows a % change against the preceding period of equal length.
Dashboard cards
| Card | What it shows |
|---|---|
| Event Performance | Every event that ended in the period, one row each — registrations, check-ins, cancellations, waitlist, check-in rate and capacity filled. Capacity filled shows a percentage for single-session events with a set capacity; events with no cap show "No limit", and multi-session events show a dash because capacity is set per session. |
| Event Engagement Funnel | The journey from audience size, to people who viewed an event, to people who signed up. A wide gap between views and sign-ups points at the listing rather than the event itself. |
| Views by Topic | Event views by thematic topic, each topic's share of total views, and its sign-up rate — the share of viewers who went on to register or join a waitlist. Separates what earns attention from what converts. |
| Sign-up Patterns | Heatmap of sign-up volume by day of week and hour, based on when each request was made. Darker cells had more sign-ups. Always the last 13 complete weeks. |
| Peak Sign-up Times | The most common hour, the busiest day, and average sign-ups per day. Counts every registration and waitlist request — including ones later cancelled — since each showed interest at the time. Always the last 13 complete weeks. |
| Where It's Happening | Which buildings generate the most event registrations, with check-ins and event count per building. |
| Top Tenants | Tenant companies ranked by registrations, with event count and active registrants per company. |
| Top Users | The most active individuals across all tenants, by registrations and number of events. |
| Event Sign-ups | Every sign-up for events that ended in the period — one row each, with event session date, tenant, user, building, status and check-in status. Registrations, waitlist entries and cancellations are distinguished by the Status column. Sortable, and filterable by event, building, status and check-in status. |
Events use cases
| Situation | What it means | Recommended action |
|---|---|---|
| High registrations, lower check-in rate | Plans change between signing up and the day itself | Day-of reminders help, and capacity can be sized to typical attendance |
| Capacity filled at 100% across several events | Strong demand for that format | Repeat the event, raise capacity, or add sessions |
| Long waitlists on one topic | Clear appetite for more of that subject | Program more of it before broadening the mix |
| High views with a lower sign-up rate on a topic | The subject draws interest; the listing can do more of the work | Add imagery, and make the takeaway explicit in the description |
| Sign-ups cluster in a particular hour or weekday | Tenants have a predictable routine | Publish and promote events in that window |
| Registrations concentrated in one tenant | One company is especially engaged | Learn what works there, then share it with the other companies |
| Check-in figures absent on some events | Check-in was not enabled for those events | Enable it where attendance matters, or read those rows on registrations alone |
Service Requests dashboard
The Service Requests dashboard shows whether your operations team is keeping pace with tenant requests — how many come in, how many get closed, and how long they take. Use it to catch a growing backlog before tenants do.
When to use it: checking whether completions keep pace with incoming demand, finding which service types dominate the queue, monitoring turnaround times, and comparing request load across buildings and tenants.
Every card follows the Timeframe filter, which defaults to the last 90 days — except Requests over Time, which always shows the last 13 complete weeks so the trend stays comparable.
Key metrics
| Metric | Definition |
|---|---|
| Created Requests | Requests created during the selected period, across all buildings. |
| Completed Requests | Requests completed during the selected period — including ones created in earlier periods. This is throughput, not a cohort. |
| Completion Rate | Requests completed in the period divided by requests created in it. Above 100% means more were completed than came in, typically as an existing backlog is worked down. |
| Average Completion Time | Average days from creation to completion, across requests completed in the period. Requests cancelled or closed without being completed are not counted. |
Each metric also shows a % change against the preceding period of equal length.
Dashboard cards
| Card | What it shows |
|---|---|
| Requests over Time | Requests created each week against requests completed each week. The gap between the two lines is the signal — a widening gap means outstanding work is accumulating. Completions are counted in the week they happened, not the week the request came in. Always the last 13 complete weeks. |
| Created Requests by Service Type | Requests created in the period grouped by service type, with each type's share of the total. Shows what tenants actually ask for most. |
| Completion Time | The share of completed requests in each time range, from under an hour to over 30 days. Separates the quick wins from the long tail. Requests cancelled or closed without being completed are not counted. |
Service Requests use cases
| Situation | What it means | Recommended action |
|---|---|---|
| Completion rate below 100% across several periods | More requests are arriving than are being closed | Added capacity or a different triage order for lower-priority types can help |
| Completion rate above 100% | More is being closed than is coming in, often a backlog being reduced | Worth confirming this is the expected pattern for the period |
| One service type accounts for most requests | Something recurring is generating them | Addressing the underlying cause can reduce the volume over time |
| A long tail in Completion Time | Some requests take considerably longer than the rest | Look at what those have in common — parts, vendors or approval steps |
| Average completion time rising while volume is steady | Requests are taking longer without more of them arriving | A good moment to review staffing, routing and escalation rules |
Coming soon
- Communications dashboard — campaign impact, channel effectiveness, and content promotion performance
Related
- My Portfolio Analytics — RAUES KPIs and the engagement funnel
- AI Chat — ask questions about your data in plain English
- Sentiment — tenant feedback trends