Free Operational Assessment
Find Your Biggest Operational Bottleneck.
This 25-question self-assessment scores your organization across all 7 pillars of operational intelligence. Answer honestly — the more accurate your answers, the more useful your results.
~10–15 minutes
25 yes/no questions
Score + action plan delivered to your inbox
Answer YES to each statement true of your business today. Each YES = 1 point.
Score
0
/ 25
Pillar 01
Data Quality
0 / 4
01
Every customer or contact record in our CRM has complete, standardized information — no missing phone numbers, addresses, or critical fields.
HIGH RISK if NO — decisions made on incomplete records
YES
02
We have a single, authoritative source of truth for customer data — not multiple systems with conflicting records.
HIGH RISK if NO — duplicate records destroy reporting accuracy
YES
03
Our data entry follows a consistent, documented format — dates, names, phone numbers, and statuses are entered the same way by every team member.
MEDIUM RISK if NO — inconsistency compounds into reporting chaos
YES
04
We conduct a regular data audit — at minimum quarterly — to identify and remove duplicate, outdated, or corrupted records.
MEDIUM RISK if NO — data degrades 20–30% annually without maintenance
YES
Pillar 02
Data Structure
0 / 4
05
Our core business data lives in structured databases or a CRM — not primarily in spreadsheets that individuals maintain on their own machines.
HIGH RISK if NO — spreadsheet dependency creates orphaned, inaccessible data
YES
06
Customers, contacts, companies, and deals are stored as related entities — you can trace a complete customer journey from first contact to closed revenue.
HIGH RISK if NO — broken relational data prevents accurate pipeline visibility
YES
07
Any team member with appropriate access can query or filter our data to answer a specific business question — without needing to ask another person.
MEDIUM RISK if NO — data accessibility bottlenecks slow every decision
YES
08
Historical data from the past 2+ years is clean, accessible, and usable — not locked in legacy systems, retired tools, or local files.
MEDIUM RISK if NO — inaccessible history prevents trend analysis and AI readiness
YES
Pillar 03
System Integration
0 / 4
09
Our CRM, billing/invoicing platform, and project management tool automatically share data — no manual exports or copy-paste between systems.
HIGH RISK if NO — manual syncing introduces errors and hours of overhead
YES
10
When a new client is won, their information flows automatically into all relevant systems — no one manually re-enters the same data into multiple tools.
HIGH RISK if NO — re-entry creates duplicate records and slows onboarding
YES
11
We have fewer than 10 active software tools — and every tool we use has a clear, documented purpose with no overlap or redundancy.
MEDIUM RISK if NO — SaaS bloat creates disconnected data islands
YES
12
We have a documented map of every tool we use and how data flows between them — leadership knows exactly where every piece of business data lives.
MEDIUM RISK if NO — undocumented stacks become impossible to audit or improve
YES
Pillar 04
Process Design
0 / 4
13
Every core operational process — onboarding, fulfillment, invoicing, follow-up — is documented in writing and accessible to the team.
HIGH RISK if NO — undocumented processes cannot be improved, measured, or scaled
YES
14
A new team member could follow our documented processes and perform their job correctly in the first two weeks — without relying solely on tribal knowledge.
HIGH RISK if NO — institutional knowledge locked in people is a single point of failure
YES
15
Each documented process has a clear owner — someone who is responsible for ensuring it is followed, updated, and improved over time.
MEDIUM RISK if NO — unowned processes drift and eventually break
YES
16
We regularly review and update our process documentation — it reflects how work is actually done today, not how it was done two years ago.
MEDIUM RISK if NO — stale SOPs are worse than no SOPs — they create false confidence
YES
Pillar 05
Automation & Efficiency
0 / 3
17
Routine, high-frequency tasks — appointment reminders, invoice follow-ups, status updates, onboarding sequences — run automatically without manual triggering.
HIGH RISK if NO — manual task execution is the primary source of dropped follow-ups
YES
18
We have identified and eliminated the top three most time-consuming manual tasks in our operation — they now run without human initiation.
MEDIUM RISK if NO — the highest-cost manual tasks are rarely the most visible ones
YES
19
Our automations are monitored — we have a process to catch failed automations before they cause downstream problems for customers or team members.
MEDIUM RISK if NO — unmonitored automations silently fail and create bigger problems
YES
Pillar 06
Analytics & Decision Intelligence
0 / 3
20
Leadership can answer the top ten operational questions — revenue by client, pipeline value, utilization rate, open receivables — in under five minutes, without asking anyone.
HIGH RISK if NO — if leadership can’t self-serve data, every decision is delayed
YES
21
We have a live or near-live dashboard that reflects current business performance — not a weekly report that’s already a week old when it arrives.
MEDIUM RISK if NO — lagging reports produce lagging decisions
YES
22
When leadership reviews the numbers in our dashboard, they trust them — nobody second-guesses the data or cross-references it against a personal spreadsheet.
HIGH RISK if NO — a dashboard nobody trusts is worse than no dashboard
YES
Pillar 07
Data Governance & Security
0 / 3
23
Access to sensitive business data is controlled by role — not everyone has access to everything, and permissions are reviewed when team members change roles or leave.
HIGH RISK if NO — uncontrolled data access is a compliance and security liability
YES
24
There are documented standards for how data is entered, stored, and maintained — and those standards are actively enforced, not just written down and ignored.
MEDIUM RISK if NO — unenforced standards are the same as having no standards
YES
25
If a key employee left tomorrow, the business would continue to operate without any critical data or process knowledge walking out the door with them.
HIGH RISK if NO — single points of human failure are the most expensive operational risk
YES
Your Data Integrity Score
0 / 25
Maturity Level
—
0 – 6
Operational Chaos
Data cannot be trusted. Scaling is impossible without immediate intervention.
7 – 13
High Inefficiency
Disconnected systems are creating significant waste and hidden revenue leaks.
14 – 19
Functional but Fragile
A working foundation exists but gaps are costing you in speed and visibility.
20 – 25
Scalable & AI-Ready
Integrated systems and clean data enable automation and real-time intelligence.
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Complete the checklist to see your results.
Answer all 25 questions above to reveal your operational data maturity level and your highest-risk areas.