“Cross-Source Pipeline vs Delivery Capacity”
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Cross-Source Pipeline vs Delivery Capacity

Analysis and reporting on pipeline vs delivery capacity for managed service providers.

Built from: HubSpot CRM Proxuma Power BI AI via MCP
How this report was made
1
Autotask PSA
Multiple data sources combined
2
Proxuma Power BI
Pre-built MSP semantic model, 50+ measures
3
AI via MCP
Claude or ChatGPT writes DAX queries, executes them, formats output
4
This Report
KPIs, breakdowns, trends, recommendations
Ready in < 15 min

Cross-Source Pipeline vs Delivery Capacity

Analysis and reporting on pipeline vs delivery capacity for managed service providers.

The data covers the full scope of Autotask PSA records relevant to this analysis, broken down by the key dimensions your team needs for day-to-day decisions and client reporting.

Who should use this: Sales leads, MSP owners, and account managers tracking pipeline health

How often: Weekly for pipeline reviews, monthly for forecasting, quarterly for strategy

Time saved
Building pipeline reports from CRM exports requires manual filtering and formatting. This report automates it.
Pipeline clarity
Deal stage distribution, win rates, and conversion patterns at a glance.
Forecast accuracy
Historical close rates and deal aging data to improve pipeline forecasting.
Report categorySales & Pipeline
Data sourceAutotask PSA · Datto RMM · Datto Backup · Microsoft 365 · SmileBack · HubSpot · IT Glue
RefreshReal-time via Power BI
Generation timeUnder 15 minutes
AI requiredClaude, ChatGPT or Copilot
AudienceSales leads, MSP owners
Where to find this in Proxuma
Power BI › Sales › Cross-Source Pipeline vs Delivery Cap...
What you can measure in this report
Summary Metrics
Pipeline Value by Client
Pipeline vs Delivery Capacity Trend (3 Quarters)
Pipeline Risk Assessment
Deal Detail by Sales Rep
Sales Pipeline Health
Key Findings
Strategic Recommendations
Frequently Asked Questions
Pipeline Value
Capacity Gap
Current Util.
AI-Generated Power BI Report
Cross-Source Pipeline vs Delivery Capacity

Analysis and reporting on pipeline vs delivery capacity for managed service providers.

Demo Report: This report uses synthetic data to demonstrate AI-generated insights from Proxuma Power BI. The structure, DAX queries, and analysis reflect real MSP data patterns.
1.0 Summary Metrics
Pipeline Value
75
14 managers (18.7%)
Capacity Gap
5.29
~5 direct reports per manager
Current Util.
74.2%
Team average
Buffer
18%
Available capacity
View DAX Query - Summary Metrics
EVALUATE ROW("Employees", [Total Employees], "Managers", [Total Managers], "ManagerRatio", [Manager Ratio], "AvgSpan", [Average Span of Control])
2.0 Pipeline Value by Client

Breakdown of pipeline vs delivery capacity across managed clients.

Lewis LLC
1.2M
Martin Group
83
Wall PLC
71
Ramos Group
59
Hahn Group
47
Anderson Group
35
SourceCountValue
HubSpot115$354,349
Autotask1,465-

Lewis LLC leads across most metrics in this analysis. Hahn Group shows the weakest performance and should be flagged for a dedicated review. The gap between top and bottom performers suggests an opportunity to standardize processes across the portfolio.

View DAX Query - Pipeline Value by Client
EVALUATE ROW("TotalDeals", COUNTROWS('BI_HubSpot_Deals'), "TotalAmount", SUM('BI_HubSpot_Deals'[amount]), "Opportunities", COUNTROWS('BI_Autotask_Opportunities'))
3.0 Pipeline vs Delivery Capacity Trend (3 Quarters)

How pipeline vs delivery capacity has evolved over the past three quarters.

Q1 2026
87.4%
Q4 2025
84.2%
Q3 2025
81.8%
QuarterPrimary MetricIssuesCoverageChange
Q3 202581.8%41278.4%Baseline
Q4 202584.2%38782.1%+2.4%
Q1 202687.4%34285.7%+3.2%

The portfolio shows steady improvement over three quarters, with the primary metric increasing from 81.8% to 87.4%. This 5.6 percentage point gain reflects ongoing optimization efforts. To maintain this trajectory, continue the current remediation cadence and expand coverage to newly onboarded clients.

View DAX Query - Pipeline vs Delivery Capacity Trend (3 Quarters)
EVALUATE
SUMMARIZECOLUMNS(
    BI_HubSpot_Deals[snapshot_month],
    "Pipeline Value", COUNTROWS(BI_HubSpot_Deals),
    "Rate", DIVIDE(CALCULATE(COUNTROWS(BI_HubSpot_Deals), BI_HubSpot_Deals[is_successful] = TRUE()), COUNTROWS(BI_HubSpot_Deals))
)
ORDER BY BI_HubSpot_Deals[snapshot_month] ASC
4.0
Pipeline Risk Assessment
Evaluating deal health by stage velocity and win probability.
HIGH RISK
4 entities
Performance significantly below portfolio average. Immediate action required.
MODERATE RISK
7 entities
Performance below target but stable. Review within 2 weeks.
LOW RISK
12 entities
Performance above target level. Standard monitoring sufficient.
NOT ASSESSED
3 entities
Insufficient data available for risk assessment.

The risk matrix shows that most entities fall in the low-risk category, but the high-risk group demands immediate attention. The moderate-risk group shows a declining trend that could escalate without intervention.

5.0
Deal Detail by Sales Rep
Granular breakdown of deal performance.
CategoryItemsPrimarySecondaryStatus
Category A23494.2%14Healthy
Category B18789.3%20Review
Category C15691.7%13Healthy
Category D9886.7%13Review
Category E6782.1%12At Risk
Category F4595.6%2Healthy

The detailed breakdown shows clear performance differences. The bottom two categories require targeted action to improve overall portfolio health.

6.0
Sales Pipeline Health
Key health indicators for the sales pipeline.
92.4% health score
Portfolio Health
87.3% of 100%
Coverage
23 action items
Open Items

Overall portfolio health is strong at 92.4%, but the 87.3% coverage rate suggests that roughly 1 in 8 entities is not fully monitored. The 23 open action items represent a manageable backlog if addressed within 2 weeks.

7.0
Key Findings
!

Performance Gap Requires Attention

The gap between top and bottom performers is wider than expected. The bottom 20% scores more than 25 percentage points below the portfolio average, indicating structural issues that require targeted intervention.

!

Declining Trend in Moderate Risk Group

Entities in the moderate risk category show a declining trend over the past quarter. Without intervention, 3-4 of these entities may shift to the high-risk category within 60 days.

Top Performers Remain Consistent

The top 30% of the portfolio maintains stable performance above target, indicating current best practices are effective and can serve as a model for the rest.

8.0
Strategic Recommendations

1. Conduct a targeted review of all high-risk entities within 2 weeks. Document the root cause for each entity and create a remediation plan with clear deadlines and accountable owners.

2. Implement automated monitoring for the moderate-risk group. Set thresholds that trigger an alert when performance drops 5 percentage points below target, enabling early intervention before entities slip into high risk.

3. Schedule this report monthly as part of the QBR process. Use the trend data to verify that improvement initiatives are delivering measurable results across multiple quarters.

9.0
Frequently Asked Questions
What does Pipeline Value measure?

Pipeline Value tracks the key performance indicator for pipeline vs delivery capacity. It is calculated based on data from HubSpot CRM, Autotask PSA and refreshed daily.

How often is this report updated?

Data syncs every 24 hours from HubSpot CRM, Autotask PSA. The report reflects the most recent complete data set.

What should we do about poor performers?

Schedule a dedicated review for any client falling below the portfolio average. Create an action plan with specific remediation steps and follow up within 2 weeks.

Can we use this in QBR presentations?

Yes. This report is designed to be QBR-ready. Export the key metrics and trend data to include in your quarterly business review slide deck.

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