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Dave Basarab Consulting has elevated the training experience, offering an end-to-end comprehensive approach that includes training strategy, instructional design, development, delivery , post program training transfer, and evaluation (via the unique Predictive Evaluation methodology). Virtual Chief Architect Dave Basarab has combined all of these individual training elements with his user-friendly, comprehensive Learning to Performance approach, which significantly increases companies' training ROI.

Why we are different

  • Innovation: Our primary focus is creating learning programs using a Learning to Performance approach.
  • Expertise: Dave offers the depth and breadth of his experience, including working internally at prestigious companies (Motorola, Ingersoll Rand and Pitney Bowes) as well as his knowledge and expertise as a highly-respected, sought-after consultant.
  • Partnership: Basarab collaborates with companies, serving as their own Chief Learning Officer whenever they need to plan, strategize, or implement training initiatives.

Training Services

Enterprise Learning Strategy

Enterprise Learning Strategy

At Dave Basarab Consulting, we're experts in creating Enterprise Learning Plans. We work with you to develop your company's learning strategy and direction.

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Custom Design, Development, & Delivery

Custom Design, Development, & Delivery

Custom training is an effective way of developing the capability required to execute your strategy. We are a custom design house that creates programs specific to your business.

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Learning Burst Development

Learning Burst Development

We can create and deliver your courses via our unique Learning Burst Method - keeping your employees at their jobs while receiving world-class training.

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Predictive Evaluation

Predictive Evaluation

We predict the ROI for your courses and establish success gates. We then evaluate the course against the success gates to show value realized and continually improve results.

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Leadership Development

Leadership Development

Turn-key virtual custom leadership development program that combines world-class leadership speakers/educators with post-event personalized coaching to provide you with a cadre of highly skilled leaders.

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Predictive Evaluation

How to communicate training results to business leaders

Training results often lose influence when they are presented as a catalogue of attendance figures, satisfaction scores, and completed modules. Non-L&D stakeholders usually need a different story: what changed, why it matters, and how the evidence connects to operational priorities.

Effective learning communication translates evaluation data into the language of revenue, productivity, quality, retention, risk, and customer experience. The goal is not to oversimplify the findings, but to make their business meaning clear enough for leaders to act on them.

This requires more than a polished dashboard. It calls for agreement on success measures, credible evidence, concise reporting, and a clear explanation of what the organization should do next.

Start with the business result

Before discussing courses or learning objectives, identify the business outcome the program is intended to influence. This might include faster onboarding, fewer safety incidents, improved sales conversion, stronger manager performance, or reduced customer complaints.

A useful results statement connects the learning intervention to an operational measure: “Managers will use structured coaching conversations, contributing to improved first-quarter employee productivity.” This gives stakeholders a reason to care about adoption and behavior change, not just participation.

When the desired result is vague, communication becomes a list of activities. When it is specific, every metric can be evaluated for relevance.

Establish a baseline before training

Stakeholders trust training reports more when they can see the starting point. Capture baseline performance, current behavior, employee capability, and relevant business conditions before the program begins. Without this reference, a later improvement may be difficult to interpret.

Baseline data does not need to be complicated. Existing performance reports, manager assessments, quality audits, sales records, or retention figures may provide enough context. The important point is to define how success will be recognized before results arrive.

For longer initiatives, set measurement points at several stages: immediately after learning, during early application, and after the behavior has had time to affect business performance. This creates a more realistic picture of learning adoption and sustained impact.

Translate learning metrics into business language

Learning measures are useful when they explain progress toward a business goal. Completion rates can indicate reach, but they do not prove capability. Assessment scores may show knowledge, but they do not confirm workplace application. Stakeholders need to understand what each measure can and cannot establish.

Use plain explanations alongside the numbers. For example, “87% of supervisors completed the practice labs, and 64% were observed using the new feedback model within 60 days.” This communicates both exposure and transfer.

Be careful with claims about causality. If productivity increased after training, describe the timing and supporting evidence without automatically attributing the full gain to learning. A credible report acknowledges other influences such as staffing, technology, market demand, or process changes.

Show evidence without overstating impact

A strong business case combines several types of evidence. Learner data shows whether people engaged. Assessment and observation data indicates capability and behavior. Operational data reveals whether the desired business condition moved. Qualitative comments can explain why results occurred or where barriers remain.

For programs tied to employee retention, timing matters. New hires may complete onboarding quickly, while meaningful retention patterns emerge months later. This analysis of long-term onboarding impact illustrates why evaluation should extend beyond immediate learner reactions.

Use comparison groups, trend data, or matched cohorts when practical. Even imperfect comparisons can improve interpretation, provided the limits are stated clearly. Stakeholders are more likely to trust a measured claim than an impressive but unsupported return-on-investment figure.

Match the message to the stakeholder

Executives, operational managers, finance teams, and human resources leaders may all view the same program through different lenses. A senior executive may want a concise decision brief, while a department manager needs specific behavior and performance data. Finance may focus on costs, assumptions, and the reliability of the calculation.

Stakeholder Most relevant evidence Useful message
Executive sponsor Strategic outcomes, risk, investment The program is supporting a defined business priority
Operations leader Behavior, productivity, quality Teams are applying the capability in daily work
Finance partner Cost, benefits, assumptions The estimated value is based on visible evidence
HR or talent leader Retention, mobility, capability Learning is strengthening workforce outcomes
Frontline manager Practical adoption, barriers, support needs Managers know what to reinforce next

Keep the core evidence consistent while changing the emphasis. A shared measurement framework prevents conflicting narratives, and tailored communication helps each audience see the decision relevance.

A one-page executive summary can include the objective, baseline, key result, confidence level, business implication, and recommended action. Supporting dashboards or technical notes can hold the detail for stakeholders who need to investigate further.

Make evaluation findings actionable

Results should lead to a decision, not simply close a reporting cycle. Explain whether the organization should scale the program, revise the design, strengthen manager support, extend measurement, or stop investing in its current form.

Before presenting findings, check that the data is reliable and interpreted in context. Misleading impact data can result from weak survey design, selective reporting, poor timing, or confusing correlation with causation.

Use these practices to improve the quality of stakeholder communication:

  • Define the business outcome and baseline before delivery begins.
  • Report adoption, behavior change, and operational results together.
  • Separate observed facts from estimates, assumptions, and interpretation.
  • Tailor the format and emphasis to each decision-making audience.
  • End every report with a specific action, owner, and review date.

Turn evidence into organizational momentum

Communicating training results effectively is a capability that develops through disciplined measurement and purposeful storytelling. It helps leaders see learning as a business lever rather than an isolated service function.

A learning consultancy can support this process by aligning enterprise learning strategy, instructional design, leadership development, learning bursts, and delivery with measurable organizational outcomes. Predictive Evaluation also provides a practical way to forecast adoption, assess impact, and connect investment decisions with evidence.

Build your next training report around the business decision it needs to support, then use clear evidence to show what changed and what should happen next. That approach turns evaluation from a final report into an ongoing tool for better performance.

Learning to Performance

Learning to Performance, a complete training approach, gives companies world-class training to drive significant return. This approach includes upfront work (Impact Mapping, design), training (for staff and company executives), and post-training efforts to ensure training transfer. This unique recipe - the key for successful training and adoption - is changing the way companies implement training. This methodology could work with any content for organizations in any industry.

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