Dylan Hoback
Accu-Tube
My Praxie analytics software transformed our operations, enabling data-driven decisions and streamlining our manufacturing process.
Five whys. And the answer is still “operator error”.
Replace five blank boxes with AI that pushes the analysis past the first plausible answer — using your own failure history to suggest the causes people stop short of.
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Send us one of your completed five whys
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AI five whysfor quality and CI teams
Customer Success Stories
Dylan Hoback
Accu-Tube
Jason Carpenter
Environmental Pest Management
With Praxie, I found a way to take what was in documents and spreadsheets and provide my team with a visual application environment to drive our strategy with full accountability.
Elizabeth Pridham
Perfection Fresh
Praxie dramatically improved our process through digital transformation. We now have visibility and can drive decisions at a fraction of the time.
Scott Russell
NUCOR Vulcraft
I would heartily recommend the Praxie team to any organization seeking to seriously undertake a lasting and successful innovation process.
Mike Bainbridge
Dover Food Retail
Our MFG Ops application greatly improved our daily management initiatives. It is easy to see how we are doing, identify issues, and track improvements—no matter where we sit.
Jeff Piotrowicz
ChemLink
With Praxie we've created a way to report on complex projects that gives management full visibility. Executives have visibility to projects, assignments, and more at their fingertips.
Maureen Thompson
American Nurses Association
Our Praxie App makes it easy to track progress on strategic objectives across the organization and includes an executive-level dashboard with real-time reports to the board on key initiatives.
Tom Anderson
Springfield Armory
Praxie is used every day to track and analyze every aspect of production, quality, safety, and more. We improved quality by 10%.
Peggie Pelosi
Innovators Alliance
Almost overnight, Praxie created a customized solution for our 100 member organizations across Canada to drive strategy and innovation.
Kate Merton
Anthem
Praxie's innovation solution stood out from other options because it can be customized so quickly to fit our exact process requirements. Plus, it is incredibly easy to use and manage.
The method is fine. The stopping point is the problem.
Asking why was never difficult. Not stopping at the first comfortable answer is the job.
“Operator error is not a root cause.”
“We got to three whys and ran out of time.”
A form with five boxes, three filled in, and a corrective action that says retrain.
You do not need a longer form. You need the analysis to keep going — past the answer that lets everyone leave.
If you own root cause
Is this your analysis?
Most quality and CI teams recognise at least four of these. If you recognise six, the rest of this page is written for you.
- The analysis stops at the first plausible answer.
- Root cause is recorded as operator error more often than anything else.
- Corrective action is almost always retraining.
- Two people analysing the same event reach different causes.
- Nobody checks whether the cause was actually addressed.
- The same event recurs with a different five whys attached.
- Systemic causes are never reached because they are uncomfortable.
- “Why did it really happen?” is answered by whoever is senior.
None of this is a technique problem. It is a depth problem.
Is this you?
Worked example — multi-line quality teamThe analysis used to stop at the first comfortable answer.
Three↓Fivehow deep the analysis actually goes
Hundreds of five whys forms, most of them finishing at human error and a retraining action.
Because the method relies entirely on who is in the room and how much time they have, analyses stopped early and systemic causes were rarely reached — so the same events kept recurring.
With AI drawing on your own failure history to suggest the next why, the analysis is pushed past the convenient answer, and recurring events are linked rather than re-analysed in isolation.
Root cause meeting, 9am
What you walk out of the meeting with
Today
Operator error, and a retraining action.
- Stops at the first plausible answer
- Depends on who is in the room
- Systemic causes rarely reached
- Recurrence treated as a new event
→
With Praxie
A cause you can actually act on.
- Next why suggested from real history
- Analysis pushed past the easy answer
- Recurring events linked together
- Actions aimed at the system, not the person
Key ROI Elements
30%
Fewer Repeat Problems
Find the real cause and stop treating symptoms.
40%
Faster Root Cause Time
Cut delays from problem to root cause to countermeasure.
25%
Higher Verification Rate
Verify causes and keep countermeasures on track.
15%
Lower Cost of Problems
Reduce scrap, rework, and repeat problems.
Fewer
Repeat Issues
Prevent the same problems from coming back.
Higher
Problem Prevention
Stop recurring problems across every team.
See Praxie in Action Now
What is the last root cause you were not convinced by?
Now select a day and time below.
Why Five Whys Stops at Three
Spreadsheets &
Manual Logs
- Reactive tracking
- Paper-based 5 Whys forms
- Limited analysis history
- Hard to prioritize causes
- Higher recurrence risk
ERP / QMS
Quality Modules
- Connected to enterprise data
- Often rigid workflows
- Slow field adoption
- Heavy configuration
- Limited AI guidance
Traditional
5 Whys Templates
- Good why-chain structure
- Cause-and-effect support
- Can become data-entry heavy
- Limited operational context
- Often weak analytics
Point
Predictive AI Tools
- Useful for simple problems
- Detects some patterns
- May require data projects
- Disconnected from execution
- Limited analysis workflows
★ BEST FIT
Praxie AI-Powered
5 Whys Analysis
- AI why chains, evidence & countermeasures
- Predictive alerts and risk prioritization
- Connects ERP, QMS, MES, documents & teams
- Dashboards, workflows & team guidance
- Faster deployment, lower complexity
Analysis workflow flexibility
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✓
Real-time problem tracking
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✓
AI root cause & recommendations
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✓
✓
Why chains, evidence & countermeasures
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✓
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✓
Connected problem, evidence & operations context
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✓
Speed to deploy and adapt
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✓
Why Praxie
Stands Out
Stands Out
More flexible than rigid QMS and ERP modules
Far more automated than spreadsheets and manual logs
Broader than static 5 Whys template tools
Faster to deploy than heavy QMS replacement projects
Questions Quality Teams Ask Us First
The objections we hear in the first 20 minutes — answered plainly.
1
How does AI improve 5 Whys root cause analysis — and can my team trust it?
Answer: The AI helps problem-solving teams make better decisions by analyzing problem statements, symptoms, evidence, past analyses, and team notes. Recommendations are explainable, so teams can see why a cause is likely and stay in control of every step of the analysis.
2
Can this reduce repeat problems and shallow fixes?
Answer: Yes. AI-powered 5 Whys analysis identifies weak links in the cause chain, recurring problems, unverified assumptions, and shallow fixes before the problem returns. This helps teams shift from guesswork and firefighting to disciplined, verified root cause analysis.
3
How does the system help manage causes and countermeasure priorities?
Answer: The AI can help create, categorize, prioritize, and route countermeasures based on problem criticality, recurrence risk, business impact, required skills, ownership, and analysis history. Teams get a clearer view of what needs to be done first and why.
4
Will this help us find root causes and recurring problems?
Answer: Yes. The system analyzes patterns across problems, evidence, corrective actions, past analyses, and team comments to identify repeat problems, likely root causes, and improvement opportunities across processes, lines, plants, or suppliers.
5
Is this better than spreadsheets, a static 5 Whys template, or manual tracking?
Answer: Yes. Traditional templates capture the why chain but do not actively interpret it. AI-powered 5 Whys analysis connects problems, evidence, root causes, and countermeasures so teams can find causes faster, verify them, and continuously improve.
Bottom line: AI-powered 5 Whys analysis helps teams find the true root cause, prioritize the right countermeasures, verify results, and move from guesswork and firefighting to disciplined problem solving.
Which root cause would you re-examine first, if it went deeper?
Send us one of your completed five whys. We’ll show you what Praxie would ask next — your event, your history, your causes.
1Send us an analysis230-minute review3Free pilot on your data
See Praxie in Action
No cost, no obligation — and you keep what we find either way.