Your Chief Virtual Learning Architect

Learning to Performance

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Custom Design & Delivery

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Predictive Evaluation

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Enterprise Learning Strategy

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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.

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.

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.

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.

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.

Predictive Evaluation

Why Your Training Impact Data Might Be Misleading You

Training data can look precise while telling an incomplete story. Completion rates, assessment scores, attendance figures, and learner satisfaction results are easy to collect, yet they may reveal very little about whether employees apply new skills or whether the organization benefits from them.

The problem is rarely a lack of data. It is usually a mismatch between what gets measured and what the business needs to know. A program can achieve excellent survey results and still fail to change workplace behavior, improve performance, or support strategic goals.

Reliable evaluation connects learning activity with adoption, capability, and business outcomes. That requires examining how metrics are selected, when they are collected, and whether they reflect meaningful performance changes.

Completion Does Not Equal Capability

A completed course proves that someone accessed the content and reached the end. It does not prove that the learner understood the material, can perform the required task, or will use the skill under real working conditions.

Digital platforms often make completion data especially attractive because it is available immediately. However, a high completion rate may reflect mandatory participation rather than genuine engagement. Employees may click through modules quickly, retain little information, and return to familiar habits once the training ends.

Capability is better assessed through practical demonstrations, manager observations, work samples, and performance indicators. These sources show whether learning has moved beyond exposure and become usable behavior.

Satisfaction Scores Can Hide Weak Transfer

Learner satisfaction has value, particularly when participants identify confusing content, poor pacing, or technical problems. Yet a positive reaction often measures enjoyment and perceived relevance rather than business impact. An entertaining session may receive strong ratings without producing sustained improvement.

The reverse can also happen. Challenging training may receive average feedback because it exposes difficult gaps or requires effort. If leaders treat satisfaction as the primary success measure, they may reward comfort instead of capability development.

A stronger evaluation approach combines participant feedback with evidence gathered after training. Follow-up checks, coaching conversations, workflow observations, and performance data can reveal whether employees are applying what they learned.

Timing Changes The Meaning Of Results

Data collected immediately after a workshop captures short-term impressions and knowledge recall. It does not show whether learning survives competing priorities, changing conditions, or pressure from daily work. Early results can therefore overstate the lasting effect of a program.

Delayed measurement provides a clearer view of retention and transfer. The right timing depends on the behavior being developed. A customer service technique may be observed within weeks, while leadership practices or operational improvements may require several months to become visible.

Evaluation should be designed before delivery begins. This makes it possible to establish baseline performance, define the expected behavior change, and identify when credible evidence should appear.

A Better View Of Training Evidence

Misleading results often come from treating isolated metrics as definitive proof. A useful measurement system considers several layers of evidence and explains how they relate to one another.

Data source	What it can show	What it cannot prove
Attendance and completion	Reach and participation	Skill mastery or workplace use
Knowledge checks	Immediate understanding	Long-term retention or behavior change
Satisfaction surveys	Perceived relevance and experience quality	Business performance improvement
Manager observations	Application and consistency	Whether training caused every observed change
Business metrics	Operational or financial movement	The exact contribution of training without context

This is where real-time learning metrics can support better decisions. Tracking a focused set of indicators during and after implementation helps learning teams identify adoption gaps before they become expensive program failures.

Context Matters More Than Correlation

A performance improvement after training may be encouraging, but it does not automatically establish causation. New software, revised incentives, staffing changes, market conditions, manager support, or process redesign may have influenced the same result.

Evaluation becomes more credible when it documents these surrounding factors. Comparing trained and untrained groups, reviewing baseline results, gathering manager input, and examining operational changes can clarify the contribution of learning.

This does not mean every program needs a complex research study. It means the evaluation question should match the decision at hand. Leaders may need to know whether to expand a program, redesign it, reinforce it, or stop funding it. Each decision requires relevant evidence rather than a generic scorecard.

Build Measurement Into The Learning Experience

Training impact data is most useful when measurement is integrated into the learning strategy, instructional design, and delivery plan. Objectives should describe observable performance, not simply topics covered. Practice activities should resemble real work, and reinforcement should help employees use new skills in context.

Organizations can strengthen this connection through custom training development that aligns content, learner needs, workplace conditions, and intended results. When evaluation is considered from the beginning, data collection becomes part of program design rather than an afterthought.

Predictive Evaluation adds another useful dimension by forecasting likely adoption, impact, and return on investment before large-scale rollout. This allows stakeholders to test assumptions, identify risks, and focus resources on the conditions most likely to produce measurable change.

Practical Steps For More Trustworthy Data

A credible learning measurement process should be focused enough to use consistently and rigorous enough to support business decisions. Start with the outcomes leaders care about, then work backward to the behaviors and capabilities that influence them.

Define the business problem and desired performance change before selecting metrics.
Establish baseline measures instead of relying only on post-training scores.
Combine learner feedback with behavior, operational, and financial evidence.
Measure adoption at multiple points after training, not only on completion day.
Record non-training factors that could influence the observed results.

Training leaders who act on this evidence can replace activity reporting with performance insight. That shift makes it easier to improve learning programs, communicate value to executives, and invest in development with greater confidence.

Review your current training dashboard against the questions it is meant to answer. Then identify which measures reflect participation, which demonstrate capability, and which connect learning to business results. A focused evaluation strategy can turn uncertain signals into decisions that improve employee performance and organizational outcomes.

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.