01
Cost
Remove wasteLess duplicate effort, avoidable overhead, and rework.
Cost. Time. Quality.
Operational problems,
engineered out.
CTQ One studies how work actually happens, then uses process improvement, automation, data, practical AI, and custom business software to lower cost, save time, and improve quality.
No technical specification required.
Start with the problem.
Founder-led operational problem solvingOne System. No Tradeoffs.
Founder-ledLean Six Sigma Black BeltProcess before technologyBuilt around real workflows
The CTQ One principle
Better operations should not require choosing what gets worse.
Save time but lose control. Improve quality but add cost. CTQ One looks at the complete operating system so improvements can reinforce one another.
02
Time
Remove delayFaster execution, responses, handoffs, and decisions.
03
Quality
Remove failureFewer errors, greater consistency, and better customer experiences.
Three priorities. One connected system.“No Tradeoffs” is our design philosophy, not an absolute guarantee.
Sound familiar?
If the work feels harder than it should, the system may be the problem.
The expensive problems often look ordinary. A repeated task. A slow handoff. A workaround that became the way you work.
The same information gets entered twice.
Duplicate effort creates mismatched records and more cleanup.
One person has to remember every step.
Important work waits, or disappears, when that person is unavailable.
Your team works between five different tools.
Spreadsheets, email, texts, and applications each hold part of the truth.
Customers wait on internal handoffs.
Unclear ownership turns a simple request into a series of follow-ups.
Reports need cleanup before you trust them.
Decisions arrive late because the numbers are not ready.
Your best people spend their day on admin.
Repetitive work crowds out the judgment you hired them for.
How CTQ One works
Start with the operation,
not the software.
You do not need a technical specification. Bring us the bottleneck, workaround, delay, or recurring frustration.
- 01
Diagnose
Study the real workflow. Find the constraints, handoffs, waste, and business impact.
- 02
Design
Define the simplest better process. Decide where technology will genuinely help.
- 03
Build and connect
Create or connect the tools around how your business needs to operate.
- 04
Measure and improve
Evaluate Cost, Time, and Quality. Improve what matters, not what looks impressive.
What CTQ One builds
Purpose-built for work that does not fit neatly into a box.
Operational systems. Connected tools. Clearer information. The solution follows the business need, not a preferred technology.
0102030405
Process improvement consulting
Find waste, constraints, and broken handoffs. Design a simpler way to do the work.
Business process automation
Reduce repetitive work, duplicate entry, and disconnected handoffs after improving the process.
Custom business software
Build a focused operational system when important work does not fit off-the-shelf tools.
AI workflow automation
Use AI for appropriate intake, extraction, classification, summaries, and drafting with clear review.
Operational problem solving
Separate the symptom from the cause before committing to the solution.
AI is a tool, not the starting assumption.
We use it when it materially improves the system. A simpler process or a predictable automation may be the better answer.
Work & proof
Useful beats impressive.
Recruiting workflows. Field operations. Equipment service. Different businesses, the same need for less fragmented work.
Our systems portfolio shows the workflows CTQ One is working on. We distinguish internal products and concepts from verified customer outcomes.
Explore systems and productsProof starts with a baseline
Measure the operation.
Not the launch.
A new system is not the result. Less friction in the business is. These are the measures we consider, depending on the problem.
- Cycle time
- Administrative hours
- Rework
- Error rate
- Handoff delay
- Response time
- Data completeness
- Customer friction
- Process visibility
- Adoption and usability
These are evaluation measures, not claimed customer results.
Controlled progress
A clear first step before a large commitment.
Understand the problem. Define a useful first scope. Validate the approach.
We map the current process, identify waste and constraints, and choose the smallest useful intervention. Scope, responsibilities, and commercial terms are agreed before paid work begins.
Expansion should follow the business case, not the momentum of a growing feature list.
See how an engagement beginsYour accountable expert
Andrew Pangle
Founder, CTQ One
- BS Industrial Engineering
- Master of Business Administration
- Lean Six Sigma Black Belt
- Business owner & operator
Understand.
Simplify.
Then build.
Simplify.
Then build.
Built by an operator
A process engineer who happens to build software.
Businesses should not have to accept inefficient work because existing software was built for someone else.
Andrew brings industrial-engineering discipline, continuous-improvement experience, and the perspective of a business owner. First understand the process. Then remove waste, simplify the work, and build only what improves the operation.
Meet Andrew and CTQ OnePractical insights
Better questions.
Better systems.
01
Operational clarity
When a spreadsheet becomes an operational risk
Five signs that a spreadsheet has become a fragile workflow, and how to choose a proportionate next step.
4 min read02Process before technology
Find automation opportunities without automating waste
A practical way to evaluate repetitive work, simplify a process, and choose a small automation that can be measured.
4 min read03Better technology decisions
When custom software is worth considering
How to compare configuration, integration, and custom software against the real cost of operational workarounds.
4 min readStart with the problem
What is harder in your business than it should be?
Describe the bottleneck, workaround, delay, or repeated frustration. We can start there.
Submit Your ProblemPlain English is perfect. No technical specification required.
Before we begin
Practical questions.
Straight answers.
What kinds of problems does CTQ One solve?
Slow handoffs, repeated data entry, unreliable reporting, recurring administrative work, and systems that make growth harder. The starting point is an operational problem with a meaningful cost, time, or quality impact.
Do I need to know what software I need?
No. Describe what happens, where work gets stuck, and what you have already tried. Understanding the problem comes before selecting a tool or writing a technical specification.
Can you improve or connect the tools we already use?
That is often worth exploring first. We assess the capabilities, limitations, access, and data quality of existing tools before recommending replacement. An integration or configuration change may be enough.
Does every project involve custom software?
No. A clearer process, better ownership, a simpler policy, or a change to an existing tool may solve the problem. Custom development makes sense when the business need justifies the effort and ongoing responsibility.
Where does AI fit into the process?
AI can help with tasks such as intake, classification, summaries, and drafting. We assess accuracy, privacy, review requirements, and failure handling before using it. Deterministic automation is often the better choice for a predictable rule.
How does an engagement begin?
Start by submitting your problem. Andrew reviews the context and determines whether a focused discussion makes sense. Any paid scope, deliverables, responsibilities, and commercial terms are agreed before that work starts.
How do you control project risk?
Define a bounded first scope, test assumptions early, and agree on decision points. We consider disruption, data migration, user adoption, maintenance, and the cost of doing nothing. Expansion should follow a demonstrated business case.
How do you measure whether the system worked?
We choose measures tied to the problem, such as administrative hours, cycle time, handoff delay, errors, rework, or data completeness. A baseline and a comparable follow-up help separate real improvement from a good-looking launch.
Can you work with nontechnical teams?
Yes. The people doing the work are essential to understanding it. We use plain language, concrete examples, and real workflows so decisions do not depend on knowing software terminology.
What happens after a system is launched?
Ownership, documentation, support, and future changes should be agreed as part of the engagement. We consider maintainability during design, not just at launch. The specific support arrangement depends on the system and the agreed scope.