Operations dashboards
Run tighter operations with fewer status meetings
Cycle times live in Asana, SLAs in ServiceNow, vendor and order data in NetSuite and capacity in a planner's spreadsheet. RapidDashboard joins them in a private data store and shows COOs and operations managers where work is slowing down, in one plain-English question.
Live examples
One question, one full dashboard
Pick a question. RapidDashboard answers with KPIs, charts, the records behind them and an AI summary of what to do next. Hover any chart for values or open its table view.
Show average cycle time by workflow this month against our 5-day target. Which workflows exceed it, and where does the time go?
Process cycle time
Avg cycle time
6.2 days
+1.2 days vs 5-day target
Items over SLA
34%
+11 pts vs August
On time this week
61%
-4 pts vs last week
Throughput
412
+3% items completed
Target: 5.0 days
- Working
- Waiting
| Working | Waiting | |
|---|---|---|
| Contract handoff | 0.6 days | 0.9 days |
| IT provisioning | 0.8 days | 3.1 days |
| Training | 1.9 days | 0.7 days |
| Go-live check | 0.9 days | 0.5 days |
- Customer onboarding
- Change requests
- Order fulfillment
- All workflows
- 5-day target
| Customer onboarding | Change requests | Order fulfillment | All workflows | |
|---|---|---|---|---|
| W29 | 7.8 days | 6.2 days | 5.1 days | 5.3 days |
| W30 | 7.9 days | 6.3 days | 5.0 days | 5.4 days |
| W31 | 8.1 days | 6.1 days | 5.0 days | 5.4 days |
| W32 | 8.0 days | 6.5 days | 4.9 days | 5.5 days |
| W33 | 8.4 days | 6.6 days | 4.9 days | 5.6 days |
| W34 | 8.6 days | 6.8 days | 5.0 days | 5.7 days |
| W35 | 8.5 days | 6.7 days | 4.8 days | 5.8 days |
| W36 | 8.9 days | 6.9 days | 4.9 days | 5.9 days |
| W37 | 9.0 days | 7.0 days | 4.8 days | 6.0 days |
| W38 | 9.2 days | 7.0 days | 4.8 days | 6.0 days |
| W39 | 9.3 days | 7.2 days | 4.7 days | 6.1 days |
| W40 | 9.4 days | 7.1 days | 4.8 days | 6.2 days |
What changed and what to do
- Critical: Customer onboarding averages 9.4 days. IT provisioning accounts for 3.9 of them, and 3.1 days of that is waiting in the queue.
- Warning: Change requests have crept from 6.2 to 7.1 days over 12 weeks, with most of the wait at the approval step.
- Good: Order fulfillment runs at 4.8 days, under target and steady for the last six weeks.
AI summary
Average cycle time is 6.2 days against a 5-day target, and 34% of items finished over SLA in September. Customer onboarding is the main driver at 9.4 days, and 3.1 days of it is spent waiting in the IT provisioning queue. Recommend a process review with IT to pre-provision accounts at contract signature, which takes the provisioning wait off the onboarding critical path.
Ask next
- Which customers are in onboarding now?
- Cycle time by team
- Show change request approvals by approver
What is SLA compliance by service tier this week, and are any tiers below our 95% target?
SLA compliance
Overall SLA
91%
-4 pts vs 95% target
Priority tier
97%
+1 pt vs last week
Standard tier
83%
-9 pts vs last week
Open backlog
146
+38 tickets vs last week
- Priority
- Standard
- 95% target
| Priority | Standard | |
|---|---|---|
| Sep 21 | 96% | 92% |
| Sep 22 | 97% | 91% |
| Sep 23 | 98% | 93% |
| Sep 24 | 97% | 92% |
| Sep 25 | 96% | 91% |
| Sep 28 | 97% | 89% |
| Sep 29 | 98% | 75% |
| Sep 30 | 96% | 80% |
| Oct 1 | 97% | 85% |
| Oct 2 | 97% | 86% |
91%
tickets resolved within SLA · target 95%
What changed and what to do
- Critical: Standard tier fell to 83% this week. Tuesday morning brought 125 tickets between 9 and noon, about double a normal morning, and the backlog carried into Wednesday.
- Good: Priority tier held at 97%, above target every day, after the weekend staffing change.
- Warning: Open backlog rose by 38 tickets to 146. Standard tickets older than 24 hours make up most of the increase.
AI summary
Overall SLA compliance is 91% against a 95% target. Priority tickets stayed above target all week, while Standard tier dropped to 83% after a Tuesday morning volume spike outran the staffing plan. Recommend a real-time volume alert at 30 tickets an hour so the team can pull two agents from back-office work before a backlog builds.
Ask next
- What caused the Tuesday spike?
- SLA by agent this week
- Show backlog age by queue
Give me a scorecard for our top five suppliers with on-time delivery, defect rate and contract renewal dates.
Vendor scorecard
Avg on-time delivery
88%
-7 pts vs 95% contract
Below 90% threshold
2
+1 of top 5 vendors
Avg defect rate
1.5%
+0.3 pts vs Q2
Best performer
98%
Northgate on-time delivery
| Item | On-time delivery | Defect rate |
|---|---|---|
| Northgate Components | 98% | 0.4% |
| Bellwether Supply | 71% | 3.2% |
| Cascade Industrial | 91% | 1.1% |
| Pioneer Packaging | 93% | 0.8% |
| Tristar Electrical | 87% | 1.9% |
| Alder Metals | 95% | 0.6% |
| Granite Fasteners | 92% | 1.0% |
| Harbor Plastics | 96% | 0.5% |
| Ironwood Freight | 94% | 0.9% |
| Vendor | Q3 spend | On-time | Defect rate | Renewal | Status |
|---|---|---|---|---|---|
| Bellwether Supply | $412K | 71% | 3.2% | 60 days | Below contract clause |
| Northgate Components | $386K | 98% | 0.4% | 9 months | Expand scope |
| Cascade Industrial | $305K | 91% | 1.1% | 11 months | On contract |
| Tristar Electrical | $268K | 87% | 1.9% | 7 months | Below threshold |
| Pioneer Packaging | $142K | 93% | 0.8% | 4 months | On contract |
What changed and what to do
- Critical: Bellwether Supply delivered 71% on time with a 3.2% defect rate, both below its contract performance clause. The contract renews in 60 days.
- Warning: Tristar Electrical slipped to 87% on time from 89% in Q2, the second vendor under the 90% threshold.
- Good: Northgate Components delivered 98% on time with a 0.4% defect rate, ahead of contract terms and a candidate for expanded scope.
AI summary
Average on-time delivery across the top five suppliers is 88% against a 95% contract standard, and two vendors sit under the 90% threshold. Bellwether Supply is the clear outlier on both delivery and quality, and its renewal in 60 days gives a natural window to act. Recommend opening a remediation conversation with Bellwether now and requesting a competitive quote from Northgate Components as a fallback.
Ask next
- Which orders did Bellwether ship late?
- Defects by part number
- Show spend concentration by vendor
What is utilization by team this month? Who is over capacity, who has bandwidth, and which milestones are at risk?
Capacity & utilization
Avg utilization
86%
+2 pts vs August
Teams over 100%
2
+1 Implementation, Field service
Implementation
118%
3 weeks over 100% in a row
Open capacity
110 hrs
Pre-sales to 85%, next 2 weeks
Healthy ceiling: 85%
What changed and what to do
- Critical: Implementation has run above 100% for three straight weeks and reached 118%. The Brookfield Clinic and Delta Ag milestones are both at risk.
- Good: Pre-sales support is at 62% with about 110 open hours over the next two weeks, enough to absorb two implementation handoffs.
- Warning: Field service crossed 100% in week 37 and has stayed there as the Q4 preventive maintenance cycle begins.
AI summary
Average utilization is 86%, a healthy level overall, but Implementation has been above 100% for three weeks and now sits at 118%. Sustained overload like this is a leading indicator of missed milestones, and two go-lives are already at risk. Recommend moving two implementation handoffs to Pre-sales support this sprint and escalating the Brookfield Clinic and Delta Ag milestones to the project leads.
Ask next
- Which tasks could Pre-sales take on?
- Forecast utilization for November
- Show overtime hours by team
How did order fulfillment perform in September? Show OTIF, throughput and the reasons orders missed.
Order fulfillment & OTIF
OTIF
92.4%
+1.8 pts vs August
Orders shipped
1,284
+6% vs August
Order backlog
186
-24 open orders
Order cycle time
4.8 days
-0.2 days order to delivery
- Released to warehouse 1,342
- Picked 1,318 98%
- Shipped 1,284 97%
- Delivered on time 1,214 95%
- On time and in full 1,186 98%
- Late carrier pickup4142%
- Short ship (stockout)2930%
- Wrong item1616%
- Damaged in transit1212%
| Segment | Value | Share |
|---|---|---|
| Late carrier pickup | 41 | 42% |
| Short ship (stockout) | 29 | 30% |
| Wrong item | 16 | 16% |
| Damaged in transit | 12 | 12% |
- OTIF
- 95% target
| OTIF | |
|---|---|
| Oct | 88.1% |
| Nov | 88.6% |
| Dec | 87.9% |
| Jan | 88.9% |
| Feb | 89.4% |
| Mar | 89.8% |
| Apr | 90.2% |
| May | 90.0% |
| Jun | 90.6% |
| Jul | 91.1% |
| Aug | 90.6% |
| Sep | 92.4% |
What changed and what to do
- Good: OTIF reached 92.4%, the best month of the year, while shipments rose 6% to 1,284 orders.
- Warning: Late carrier pickups caused 41 of the 98 missed orders. Most were afternoon pickups from the east dock.
- Info: Short ships fell to 29 after the reorder point change on fast-moving SKUs in August.
AI summary
Summit Valley shipped 1,284 orders in September with an OTIF of 92.4%, up 1.8 points and the highest month this year. Of the 98 orders that missed, 70 were late and 28 arrived on time but incomplete or damaged. Late carrier pickup is the single largest cause, so the recommended next step is a fixed morning pickup window with the east dock carrier, which would move OTIF most of the way to the 95% target.
Ask next
- OTIF by customer
- Which carriers miss pickups most?
- Show backlog by warehouse
Sample data for a fictional company. Your dashboards run on your own connected systems.
Sound familiar?
Where the numbers live today
Exceptions take a morning to find
Spotting what is late means checking Asana, the ERP and a few Slack channels before the stand-up.
SLA status arrives with the escalation
Targets are documented, and this week's actual compliance usually surfaces when a customer calls.
Vendor reviews run quarterly
Building a scorecard is a half-day export project, so on-time and defect data gets reviewed a few times a year.
Capacity is a judgment call
Whether a team runs at 60% or 110% shows up when milestones start to slip.
Metrics glossary
The metrics behind these dashboards
How each number is defined, so everyone reads it the same way.
- Cycle time
-
The elapsed time from when work on an item starts until it is finished, including both working and waiting time.
FormulaCompletion date − Start date
- Throughput
-
The number of work items, orders or tickets completed in a period.
FormulaItems completed ÷ Time period
- OTIF (On Time In Full)
-
The share of orders delivered by the promised date with the full quantity and correct items.
FormulaOrders delivered on time and complete ÷ Total orders shipped
- SLA compliance
-
The share of tickets or requests resolved within the time agreed in the service level agreement.
FormulaItems resolved within SLA ÷ Total items resolved
- Capacity utilization
-
Hours of scheduled or logged work as a share of the hours a team has available.
FormulaScheduled or logged hours ÷ Available hours
- Backlog
-
The volume of open work that has been received and is still in progress or waiting, often tracked by age.
FormulaOpening backlog + Items received − Items completed
Connections
How your systems connect
Supported APIs and exports sync into a private RapidDashboard store you approve. Dashboards read from that store, so source systems keep their normal load.
NetSuite
PullsSales orders, fulfillments, purchase orders, vendor receipts
Official REST APIs on a scheduled, audited sync into your private data store.
ServiceNow
PullsTickets, SLA timers, escalations, backlog age
Table API refreshed on the cadence you choose, down to every 15 minutes.
Asana / Smartsheet / Monday.com
PullsTask status, cycle times, assignee load, milestones
Official REST APIs mapped to your workflows, teams and capacity model.
What you can build
Dashboards and reports teams build next
Process performance
- Cycle time by workflow
- Working vs waiting time by step
- Exception alerts
Service & fulfillment
- SLA compliance by tier
- OTIF and miss reasons
- Backlog by age
Vendor management
- On-time and defect scorecards
- Contract renewal flags
- Spend concentration
Capacity planning
- Utilization by team and week
- Milestones at risk
- Rebalancing options
Operational data stays in your boundary
Process data and vendor scorecards often include contract terms, pricing and customer details. RapidDashboard keeps everything in a private data store with role-based access, so team leads see their own teams and executives see the summary. AI features are optional and run on enterprise endpoints whose terms prohibit training on your data.
FAQ
Operations dashboards: common questions
What KPIs should an operations dashboard track?
Most operations leaders track cycle time, throughput, SLA compliance, OTIF, backlog and team utilization, plus a vendor scorecard for key suppliers. The useful version shows each against its target with the exceptions listed underneath. RapidDashboard builds each view from a plain-English question against your connected systems.
How is OTIF calculated?
OTIF is the number of orders delivered on time and in full divided by the total orders shipped in the period. For example, 1,186 perfect orders out of 1,284 shipped gives an OTIF of 92.4%. Splitting misses into late versus incomplete shows which fix will move the number most.
What is the difference between cycle time and lead time?
Lead time runs from the moment a customer request arrives until it is delivered. Cycle time starts when work actually begins, so it excludes the time an item waits before anyone picks it up. Tracking both shows whether delays come from the queue or from the work itself.
Can RapidDashboard connect to ServiceNow, NetSuite and Asana?
Yes. ServiceNow, NetSuite, Asana, Smartsheet and Monday.com connect through their official APIs and sync on a schedule into a private data store. That lets one dashboard combine tickets, orders and project tasks with shared definitions.
What is a healthy team utilization rate?
Many operations teams plan around a ceiling of 80% to 85% so there is room for urgent work and absences. Utilization above 100% for several weeks in a row usually shows up later as missed milestones or overtime. The right ceiling depends on how much unplanned work your teams handle.
Keep exploring
Related example dashboards
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