By Matt Harrington, BCBA · Behaviorist Book Club · April 2026 · 12 min read

Errors as Data: How ABA Leaders Can Leverage Mistakes to Drive Clinical Improvement and Workforce Development

Overview & Clinical Significance

The field of applied behavior analysis is in a period of rapid expansion, and growth at scale creates conditions where errors become more frequent, more varied, and more consequential. New clinicians are entering practice at high rates. New populations and service settings are being served. Insurance and regulatory requirements are evolving. Under these conditions, how organizations respond to mistakes — at the individual and system level — determines whether errors remain isolated events or become learning inputs that strengthen practice.

Tyra Sellers' framing of mistakes as learning and growth opportunities is consistent with a well-established behavioral principle: errors are informative. In skill acquisition contexts, behavior analysts design teaching procedures that anticipate errors, build error correction into the protocol, and use error patterns to identify where discrimination training, additional prompting, or program modification is needed. Error data drives program decisions. The same logic, systematically applied to clinical leadership, creates organizations where errors at every level — from an RBT's data recording mistake to a clinical director's resource allocation decision — generate information that improves subsequent performance.

The alternative — organizations where errors are primarily treated as failures requiring consequences — produces the predictable behavioral effects. Staff conceal errors to avoid punishment. Problems escalate rather than being caught early. A culture of error avoidance develops, which actually increases error frequency because problems are not identified and corrected. Leaders who have implemented punitive responses to mistakes often observe what they interpret as improved performance — but what they are seeing is improved concealment, not improved practice.

The clinical significance extends directly to client outcomes. Clients are best served by organizations that know what is going wrong in their service delivery and correct it quickly. A clinical error that is identified the day it occurs and corrected the following session produces minimal client impact. The same error, concealed for weeks, produces weeks of suboptimal intervention. The organizational culture that determines whether errors are identified and corrected quickly is set primarily by how leaders respond when mistakes surface.

Sellers' specific focus on leaders using mistakes to improve client care and workplace culture positions this as a leadership development course with direct clinical stakes. The two domains — client care quality and workplace culture — are not independent. Organizations with healthy error-response cultures tend to have better client outcomes, better staff retention, and more sustainable growth trajectories than those where error management is primarily punitive.

Background & Context

The psychological safety literature, pioneered by organizational researcher Amy Edmondson, provides relevant context for understanding how organizational error culture affects individual behavior. In organizations with high psychological safety, team members feel comfortable raising concerns, admitting errors, and asking questions without fear of humiliation or punishment. Research across healthcare, aviation, and manufacturing has shown that higher psychological safety is associated with better quality outcomes, faster error detection, and stronger team performance — particularly in complex, variable-demand environments like clinical ABA services.

Behavior analysis offers its own theoretical frame for the same phenomena. A work environment where error disclosure is followed by negative consequences (punishment or extinction of the disclosure behavior) will suppress future disclosure. A work environment where error disclosure is followed by problem-solving, support, and system improvement will maintain and potentially increase disclosure behavior. The contingencies that leaders establish in response to mistakes shape the information flow that determines how well the organization knows what is actually happening in its services.

The leadership context in ABA specifically involves practitioners who are typically promoted based on clinical expertise — high-performing BCBAs become clinical directors and program managers with limited formal leadership training. These practitioners may bring a strong clinical problem-solving orientation to their leadership role, which is an asset, but may also bring perfectionism, high standards for precision, and limited tolerance for error that, while appropriate in clinical work, can be counterproductive in leadership contexts where managing human variability is the central challenge.

Sellers' approach of reframing mistakes as learning opportunities requires what the behavior analytic tradition would call a rule change: replacing the rule 'mistakes are failures that must be prevented and punished' with 'mistakes are data that must be captured and used.' This is not a reduction in standards — it is a change in the contingencies attached to the behavior of identifying and disclosing mistakes, which ultimately produces more accurate information about the organization's actual performance.

The application of acceptance and commitment therapy (ACT) principles to leadership is relevant here. ACT-based approaches to error management emphasize defusion from evaluative self-talk about mistakes (observing the error as an event rather than a reflection of identity), values-based response (responding to errors in ways consistent with the organization's stated values), and committed action toward improvement. These principles complement the behavior analytic error-analysis framework by addressing the private verbal behavior of leaders around mistakes — the way leaders talk to themselves about errors shapes how they talk about errors with their teams.

Clinical Implications

The most direct clinical implication of an error-positive leadership culture is faster error detection and correction in client services. When RBTs feel safe reporting implementation problems — a session that went off protocol, a behavioral crisis that was handled differently than the behavior support plan specified, data that was not collected properly — supervisors receive information that allows clinical adjustments. When RBTs conceal these events to avoid negative supervisory response, clinical decisions are made on incomplete data.

Error analysis in clinical contexts means going beyond identifying what went wrong to identifying why it went wrong at the systems level. An RBT who misprompted on a discrete trial program may have a skill deficit (training problem), may have been distracted by a concurrent responsibility (scheduling problem), may have been working from an outdated version of the program (documentation problem), or may not have received recent supervisory feedback (supervision problem). Each explanation calls for a different intervention. Leaders who treat all errors as individual failures miss the systems-level information that would prevent recurrence.

Client care improvement through error analysis applies at the program level as well. When a skill acquisition program is not producing expected progress, the behavior analytic decision process involves reviewing data, assessing fidelity, and making modifications. Treating the lack of progress as information rather than failure — asking what the data tells us rather than why this client is not learning — is exactly the error-as-data orientation Sellers describes. This is the natural behavior analytic stance, but it can be displaced by organizational pressure for rapid progress that frames slow learning as a clinical problem to be fixed rather than data to be understood.

For workplace culture specifically, leaders who model error disclosure — openly discussing their own leadership mistakes and what they have learned from them — demonstrate the behavior they want to see in their teams. This modeling function is powerful: when a clinical director says 'I made an error in my resource allocation last quarter, here's what I learned and what I'm doing differently,' they are setting a norm that error disclosure is not only safe but valued. This is one of the most direct applications of the behavior analytic principle that leaders should function as discriminative stimuli for the organizational culture they want to create.

Identifying barriers to professional growth through error analysis requires leaders to attend to patterns in errors rather than individual instances. If multiple staff members make the same type of error across a period of time, the error is more likely a systems problem than an individual competence problem. Pattern recognition in error data is the same skill behavior analysts use to identify learning patterns in client data — applied to the organizational level.

Ethical Considerations

The BACB Ethics Code's multiple references to professional integrity have direct implications for how leaders handle errors. Code 1.02 requires behavior analysts to be truthful and to avoid misrepresentation. At the leadership level, this means not presenting organizational performance to funders, referral sources, or families in ways that obscure known quality problems. If fidelity data shows significant implementation problems, presenting outcomes data without that context to stakeholders may constitute misrepresentation.

Code 2.12 requires behavior analysts to advocate for resources necessary for effective service delivery. When error analysis reveals that resource constraints are contributing to service quality problems — insufficient supervision ratios, inadequate training budgets, excessive caseload sizes — leaders have an ethical obligation to advocate for change, even when that advocacy is organizationally costly. Documenting error patterns that implicate resource inadequacy is the evidence base for that advocacy.

The confidentiality considerations around error disclosure in clinical settings require careful management. Errors involving client data must be handled in accordance with HIPAA, state privacy regulations, and the BACB Ethics Code's requirements for confidentiality. Staff involved in error incidents deserve appropriate privacy protections. At the same time, the learning value of error analysis is maximized when information can be shared in aggregate or de-identified form across the organization. Designing error reporting and review processes that protect individual confidentiality while enabling organizational learning is an ethical and systems design challenge.

Code 5.05 requires supervisors to create environments where supervisees can perform ethically. An environment where errors cannot be disclosed without punitive consequences makes it harder for staff to perform ethically — they may be unable to correct mistakes, seek help, or report concerns when disclosure carries unacceptable cost. Leaders who establish error-safe cultures are not just improving clinical quality; they are creating the conditions required by the ethics code.

Whistleblower protections have a behavior analytic analog: the behavior of reporting serious errors or ethical violations must be reinforced, not punished. Code 7.02 addresses the obligation to report ethical violations through appropriate channels. Organizations where reporting is followed by retaliation suppress exactly the behavior the ethics code requires. Leaders create the contingencies that determine whether ethical reporting behavior is maintained or extinguished.

Assessment & Decision-Making

Assessing an organization's current error culture requires both direct measurement and indirect indicators. Direct measurement approaches include: tracking the frequency with which staff proactively report errors versus having errors discovered by supervisors; measuring the time between error occurrence and correction; surveying staff anonymously about their confidence that they can report mistakes without negative consequences. Indirect indicators include turnover patterns (high turnover in high-performing staff may indicate a culture that is perceived as punitive), incident report frequency (very low rates may indicate underreporting rather than low error rates), and the content of supervision meetings (how much time is spent on error analysis versus error documentation).

Decision-making about how to respond to a specific error requires a structured framework. Sellers' course supports a two-question analysis: first, what does this error tell us about client care quality — was there client impact, what immediate corrective action is required? Second, what does this error tell us about the system — what antecedent conditions made this error likely, and what system changes would reduce the probability of recurrence? These questions direct the response toward learning rather than consequence, without eliminating accountability for errors that involve negligence or ethics violations.

Distinguishing errors that warrant individual accountability from those that warrant system improvement is one of the more difficult leadership judgment calls. The safety literature suggests a 'substitution test': if any reasonably competent person in the same situation, with the same information and resources, would likely have made the same error, the error is primarily a system problem. If the error required a specific failure of knowledge, skill, or judgment that is not widely shared, it is more likely an individual competence issue. Both types require response, but the response differs.

Leaders can also assess their own error response patterns by reviewing how they handled the last five errors they became aware of. Was the response primarily focused on identification and prevention, or on consequence and documentation? Did the conversation with the staff member involved include system-level analysis? Was the error shared with other supervisors in a form that could prevent recurrence? These data points characterize the leader's current behavioral pattern as concretely as any formal assessment.

Building improvement tracking into the error response process — specifying a system change, implementing it, and following up to assess whether similar errors decreased — creates a data-based improvement loop rather than an event-based response cycle.

What This Means for Your Practice

The concrete starting point is examining your own most recent response to a significant error in your team. Walk through the behavior analysis: what was the error, what was your response, what contingency did your response establish for future error disclosure by that staff member and others who observed your response? If you notice a pattern of responses that punish disclosure or focus primarily on consequences without system analysis, that pattern is the target for change.

Building a structured error review process into your organizational routine transforms individual incidents into organizational learning. A monthly or quarterly error review meeting — where de-identified incidents are reviewed by the supervisory team with explicit attention to system-level antecedents and improvement actions — creates the infrastructure for the learning culture Sellers describes. The key structural elements are: safety (the review is not about assigning blame), specificity (each incident is analyzed for system-level factors), and accountability (each system-level finding generates a specific action with an owner and a timeline).

Modeling error disclosure personally is the most powerful single behavior change a leader can make. The next time you make a leadership mistake — a miscommunication, a resource decision that produced an unintended outcome, a clinical judgment that missed important context — describe it to your team explicitly, including what you learned and what you are doing differently. This single behavior, repeated consistently, communicates more about your organization's error culture than any policy document.