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?? The holiday season is afoot, need quick wins in RCA? Start here. #1. Automate pre-RCA team polls to uncover initial biases. #2. Use AI tools to analyze past incident data for patterns. #3. Leverage collaboration platforms that centralize findings and insights. These aren’t just “nice-to-haves”—they’re essentials to saving time and refining accuracy. Which one could benefit your team the most? #RootCauseAnalysis #ContinuousImprovement #AI #Leadership

The cost of not solving the problem correctly? Massive. Planning is not a checklist—it’s about uncovering insights before the RCA even starts. Here’s an idea to elevate your pre-work: Preliminary Bias Check: 1. Ask team members to independently write down the problem and its causes. 2. Compare answers. 3. Highlight patterns that could signal groupthink. This clarity builds confidence that your RCA is solving the right problem. ?? Want help getting started? Drop a ?? for a free guide!

?? AI is now accessible for every RCA facilitator – no Ph.D. required! Most people think AI in RCA is reserved for big players with deep pockets. But today, even small teams can leverage AI tools to: #1 Identify patterns in historical failure data #2 Flag human biases #3 Improve problem-solving accuracy Ready to see how AI can elevate your RCA process? Let's connect. What’s one RCA challenge you’d love to automate? #AI #RootCauseAnalysis #Innovation #ContinuousImprovement

Join us for Webinar 3: Digital and AI/ML Collaboration Tools for RCA Streamlining RCA: Smart, Effective, and Rewarding Solutions

To truly transform an organization, you need more than a bold idea—you need a plan for execution and the commitment to see it through. According to our research, organizations that focus on generating employee will, building critical skills, executing with rigor, and setting a holistic aspiration are far more likely to outperform peers. Discover what it takes to create a winning transformation: mck.co/3zDJ4Kh #Transformation

Ever leave an RCA session feeling like you missed the mark? Most RCA failures aren’t in the meeting—they’re in the prep. The right pre-work ensures: #1 Team alignment before day one. #2 Critical data is collected in advance. #3 Biases are identified and mitigated. Here’s one simple tip: Poll your team ahead of the RCA. Ask: #1 What’s the problem, in their words? #2 What data do they wish they had? #3 What potential causes come to mind? Collecting this upfront not only saves time but ensures your session starts with focus and momentum. ?? Want a roadmap to try this? Comment "Poll" below!

?? Root Cause Analysis (RCA) Pitfall Alert! One of the biggest mistakes I see RCA facilitators make? Jumping to conclusions without a structured data approach. The result? Millions lost because the “real” root cause remains hidden. Solution: Apply a bias-free, data-driven process. AI can automate this, helping identify patterns humans miss. Checkout this upcoming webinar announcement where we'll dive deeper into this topic. Has your team ever fallen into this trap? Share your experience below! ?? https://lnkd.in/eHEq4fm2 #RCA #RootCauseAnalysis #ContinuousImprovement #AI

When things start getting seriously complex, it's more important than ever to start with first principles. At inRoot.io, we believe in applying Six Sigma and statistical principles to AI—treating it like any other statistical model. Anthropic’s latest paper on adding error bars to LLM evaluations is a must-read for anyone serious about precision and accountability in AI.

Excited to join this webinar and share how AI/ML tools and collaboration strategies can transform RCA kickoff meetings—hope to see you there!

?? In safety, every second counts. Imagine the power of predicting incidents before they happen. That’s the reality for teams that prioritize proactive problem-solving, whether it’s RCA or another framework. AI enhances this by bringing real-time data and insights to Root Cause Analysis (RCA)—especially when teams are pressed for time. For many, RCA has long been a reactive process, resolving issues only after they’ve already disrupted operations. Often, each RCA seems disconnected, failing to reveal recurring or deeper patterns. Today, AI is transforming this approach with multiple different technologies. Imagine an RCA system that learns from each incident, incorporating these learnings into SOP updates for user approval. All of a sudden you've enabled your in-field teams be the authors of their own SOPs, instead of a separate business silo like a training department. This can create a domino effect. Your in-field team now has an avenue to create more relevant SOPs, through an exercise that truly progresses professional development. The Training Department gets the added benefit of being freed up to run actual training sessions. ?? Identifying hidden trends and potential hazards before they escalate is already being done with computer vision. AI-powered RCA leverages vast data sets to pinpoint root causes faster, proactively detecting risk patterns and enabling swift interventions. Industries like oil and gas, manufacturing, and aviation are already witnessing this shift. AI-driven insights mean fewer incidents, safer workplaces, and a cultural shift towards prioritizing safety. It’s not just about faster problem-solving; it’s about using technology to truly protect people. ?? AI-enhanced RCA isn’t a vision for the future—it’s happening now, redefining safety. Let’s lead this shift, making workplaces not only more productive but also fundamentally safer. #RootCauseAnalysis #AI #Safety #WorkplaceSafety #Innovation