Revenue Insight:
Revenue Health Score™ (RHS)
-
“Do you truly know where your revenue organization stands — or do you simply assume you do?”
-
“Your dashboards tell the story of your growth. But the real factors slowing you down are not visible on those dashboards.”
- “Are your Sales, Marketing, and Customer Success teams truly working in alignment — or is each team only following its own objectives?”
-
25–30 minutes
-
120 Diagnostic Questions (12 Domains × 10 Questions) — Likert Scale 1–5 + Self-Declaration
-
10 people (minimum 4 leaders + 6 employees)
-
Revenue Insight
The Reality Your Management Reports Do Not Show
Why RHS — The Difference From A Traditional Assessment
What is RHS?
RHS is not a survey. It is an executive diagnostic framework that measures the operational reality of your revenue engine — across strategy, processes, people, technology, data, leadership, culture, and competitive dimensions — using multi-layered evidence sources.
What Does It Deliver to Your Leaders?
| Number | Evidence Layer | What It Collects & Reveals | Scope |
|---|---|---|---|
| 1. | Leadership & Employee Survey | 120 diagnostic questions — Likert scale 1–5 + Self-Declaration. Both leadership and employee groups answer the same questions. A perception benchmark is generated for each domain. | Mandatory |
| 2. | 1:1 Structured Interviews | Structured interviews conducted by an SP1 consultant. Reveals systemic issues and cultural dynamics that may not appear in the survey. | Optional |
| 3. | Document & Process Review | Compensation plans, playbooks, SLA documents, training materials, pipeline reports. Compares stated practices with actual reality. | Optional |
| 4. | AI-Supported System Data | CRM metrics, conversation intelligence, web presence analysis. Identifies domain correlations that may not be visible through human analysis. | Optional |
3 Stage Framework
A structured process from initial data collection to executive board presentation.
ASSESSMENT
Data Collection (Day 1-5)
Multi-layered evidence gathering: surveys, structured 1:1 interviews, document reviews, and optional AI data integration. 12 domains, 120 diagnostic questions.
ANALYSIS
Scoring & Pattern Identification (DAY 6–10)
Scoring & Pattern Identification- The 12 domains are scored. Leadership vs. employee benchmarks are calculated. Revenue Leak Pattern analysis: identifies root causes by determining which two domains are jointly underperforming and where the underlying constraint exists.
OUTPUT
Executive Presentation & Roadmap (Day 11-14)
Delivery of the Revenue Health Score, Leadership Alignment Report, Gap Map, prioritized action recommendations, and a 90-day transformation roadmap. The timeline may extend up to 10 business days for the Starter package and 20 business days for the Enterprise package.
4 Tangible Outputs
Revenue Leak Pattern Analysis
An isolated low score is a symptom. Two domains declining together indicate the true root cause. RHS automatically identifies correlations across the 12 domains, making Revenue Leak Patterns visible. AI accelerates the analysis process; human expertise validates every finding.
Before investing in additional headcount, new technology, or growth budgets — you need to understand where your revenue engine truly stands.
"When evaluating revenue organizations from the outside, the biggest finding is always the same: while leadership believes 'everything is on track,' teams are experiencing a completely different reality. RHS makes this gap visible and measurable — it is the only way to make decisions based on evidence rather than assumptions."
Methodology
The RHS methodology is built on SP1’s 20+ years of field experience and the revenue organization assessment framework developed by Türkiye’s first Lead Auditor, Bahar Şen.
12-Dimensional Integrated Revenue Operating System
RHS evaluates the revenue ecosystem across 12 interconnected dimensions. These dimensions are not independent categories; they are components of an integrated revenue operating system.
The AI Programme’s Truth Loop™ methodology has been adapted to the revenue context, with four critical dimensions added beyond strategy and process:
Sustainable Success
Market & Customer
Revenue Engine
Alignment & Handoff
Competitive Position
Handoff and Competitive Position
Multi-Layered Evidence Model
Unlike traditional surveys, RHS validates its findings through multiple evidence sources. This approach significantly increases diagnostic reliability and separates organizational reality from individual perception.
Leadership Assessment
Employee Assessment
Self-Declaration
CRM metrics, pipeline analytics, forecast accuracy, web presence data
Document review, structured 1:1 interviews, operational observation
Leadership–Employee Benchmark & Perception Gap Analysis
RHS’s most critical differentiator: both the leadership group and employee group answer the same 120 diagnostic questions.
No one evaluates anyone else — everyone assesses the same organizational reality from their own perspective.
Revenue Leak Pattern Analysis
An isolated low score is a symptom. Two dimensions declining together indicate the true root cause.
RHS identifies correlations between the 12 dimensions and makes Revenue Leak Patterns visible:
Strong Marketing + Weak
Weak CRM + Weak Processes
A coaching culture is assumed to exist, but the organization is not experiencing it
Weak Alignment + Low Ethics
What Does It Deliver?
| Challenge Experienced | Cost | Solution | Benefit |
|---|---|---|---|
| The true cause of revenue decline cannot be identified | 17% of top-performing representatives generate 81% of total revenue. Hero dependency hides systemic issues — the true root cause does not appear in any report. (AeolusGTM Research, 2026) | 12-dimensional diagnostic framework: each area is measured independently, and correlations between domains are identified | Root causes are identified instead of symptoms. Intervention is directed to the right area at the right time. Budget and leadership capacity are not wasted. |
| Leadership and the organization are experiencing different realities | 82% of employers believe their employees trust leadership — only 60% of employees confirm this. This invisible gap leads to incorrect prioritization and missed improvement opportunities. (MetLife, 2025) | Leadership and employee groups answer the same diagnostic framework. The average scores of both groups are compared across each dimension. | Leadership Alignment Report: reveals where perception gaps exist and the size of those gaps numerically. Decision quality and intervention precision improve. |
| Cross-functional coordination is limiting revenue growth | Companies that manage Sales, Marketing, and Customer Success with shared definitions and KPIs are 1.4x more likely to exceed revenue targets. Among companies that do not, 54% miss pipeline targets and 49% miss revenue targets. (AeolusGTM Research, 2026) | Alignment & Handoff dimension: measures the operational quality and friction levels across Marketing → Sales → Customer Success transition points | The exact point where cross-functional friction begins and its business impact become clear. Cross-functional SLAs are established; Sales, Marketing, and CS operate with a shared customer experience objective at every stage. A consistent customer experience is created across every touchpoint — preventing situations where Sales delivers a strong experience but Service fails to maintain it. This eliminates silent churn risks caused by coordination gaps. |
| Technology investments are not delivering expected value | 37% of CRM users experience direct revenue loss due to poor data quality; companies miss an average of 16 sales opportunities per quarter due to unreliable data. (Validity, 2025 — n=602) | Technology & Data dimensions: measure tool adoption, CRM quality, data reliability, and analytical decision effectiveness | It becomes clear which tools are creating value and which are not being utilized. Technology investment decisions become evidence-based. |
| New investment decisions are being made without reliable data | New investment decisions are being made without reliable data | New investment decisions are being made without reliable data | New investment decisions are being made without reliable data |