In this episode, Danielle Ford explains how organizations can bridge the gaps between training, procedures, and investigations by "stopping the default reaction of immediate retraining" after an incident occurs. Instead of treating training as a generic fix, she advocates for using task-focused frameworks like the "Systematic Approach to Training (SAT)" to isolate specific gaps, paired with "practical job aids." To build trust and discover risks before failures occur, she emphasizes building psychological safety through "managing by walking around, normalizing leadership presence so visits don't feel like "gotcha" moments. She also highlights shifting toward the "normalization of excellence" rather than a "courtroom" mindset, focusing conversations on how workers consistently succeed. Finally, she shares how her organization uses Microsoft Copilot to build an AI bot that filters training requests, and how they institutionalize frontline knowledge using quarterly operational forums tracked by a special projects team on a 30-60-90 day schedule.
Get to know Danielle Ford:
linkedin.com/in/danielle-ford-cptd
Email: dford26105@msn.com
Danielle's publication: Rhythm and Revelation
In her conversation on the Counter Errorism podcast, Danielle Ford shares how organizations can bridge the gaps between training, procedures, and investigations. She challenges conventional safety responses and offers a highly practical roadmap for embedding continuous learning into normal operations.
Here are the key lessons we learn from her:
When an incident occurs, organizations frequently default to "we need to retrain the worker" because it is the fastest, easiest way to satisfy regulators, boards, or executives. Ford argues that retraining is rarely the correct answer. Instead, she advocates for using a task-focused approach, like the Systematic Approach to Training (SAT), to isolate the specific failure point. By partnering with the frontline workers who perform the task daily and asking, "Why didn't it work for you today?", organizations can design far more effective, lower-burden solutions—such as improved signage or targeted job aids—rather than forcing employees through redundant training programs.
To stop the constant cycle of immediate retraining requests, Ford’s organization has started using Microsoft Copilot to build an AI bot. The bot walks operational partners through a standard series of questions to help them determine if retraining is actually necessary. By immediately flagging alternative solutions (like updating a procedure or a job aid), the bot acts as an automated filter, saving the training department from spending hours upfront proving that retraining is not the right tool for the job.
To get workers to honestly share operational risks before an incident occurs, leaders must actively build trust. Ford explains that "managing by walking around" is one of the most effective ways to establish psychological safety. When a supervisor's presence in the workspace is normal and routine, employees stop viewing visits as "gotcha" moments. Instead, it opens the door for informal, casual dialogues where real risks and potential failures naturally bubble up and can be proactively solved.
Human nature naturally draws us to focus on the negative, but Ford emphasizes that you cannot build a learning culture if every mistake is treated like a courtroom trial. Leaders must redirect conversations toward the "normalization of excellence". This means having regular, supportive conversations with workers about what makes them high performers, how they execute work consistently, and how they successfully avoid the challenges their peers face.
To prevent hard-won operational insights from getting lost in the shuffle, Ford recommends using quarterly operational "forums" to share high-performance practices across shifts (such as sharing day-shift insights with the night crew). Her organization ensures these learnings are actually implemented by tasking an administrative "special projects" team to track the progress on a 30-60-90 day schedule. These tracked learnings populate a centralized dashboard, allowing the organization to revisit, update, and refine best practices as new nuances arise.
When the frontline brings innovative ideas to a learning forum that management cannot implement due to budget, regulatory boundaries, or strategic roadmaps, the worst thing a leader can do is ignore them. Ford advises that leaders must be completely transparent about the organization's guardrails. When a leader honestly and candidly explains, "This is a great idea, but we cannot do it today because of these specific parameters," workers accept the feedback and feel valued because they were genuinely heard, preventing post-meeting resentment.
When a major incident occurs, a worker's immediate fear is often that their career is over. Ford highlights that leaders must use their emotional quotient (EQ) to support the worker's psyche and self-worth. Rather than immediately standing them down—which feels like a punishment to the worker and signals to the rest of the team that they should hide their mistakes—leaders should focus on helping the individual recover and ask what they need to show up and function safely.
🤖 It is fascinating to contrast Danielle’s practical use of an AI bot to filter training needs with Bob Latino's warnings (from Episode 23) about AI's severe blind spots in Root Cause Analysis.
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