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

Five Metrics to Track for Real-Time Learning Effectiveness

Learning teams need evidence quickly enough to adjust a program while it is still running. Annual reports can show what happened, but they rarely explain why participation is falling, where application is breaking down, or which business outcomes are beginning to shift.

Real-time learning measurement combines leading indicators with outcome data. It gives leaders a practical view of learner engagement, capability growth, workplace behavior, and organizational value without waiting months for a final evaluation.

The most useful metrics are connected. A strong completion rate means little if employees cannot apply the skill, and improved confidence does not automatically prove better performance. Tracking the full progression creates a more reliable picture of learning effectiveness.

Start With Learning Adoption

The first metric is adoption: whether the intended audience begins and meaningfully engages with the learning experience. Track enrollment, attendance, first-session access, module starts, return visits, and participation in practice activities. These measures reveal whether the program is reaching employees and earning enough attention to become part of their work routine.

Do not treat completion as the only sign of engagement. A learner may finish a short course without absorbing its core ideas, while another may revisit one activity several times because it supports an immediate work need. Segment adoption data by role, location, manager, tenure, and delivery format to identify groups that need different communication or support.

Measure Capability And Readiness

The second metric is capability growth. Pre- and post-learning assessments can measure knowledge, decision quality, technical skill, or judgment against defined performance standards. For complex leadership or operational programs, scenario-based assessments often provide more useful evidence than simple recall questions.

Readiness is an important real-time signal. Ask learners to rate their confidence, but pair that perception with demonstrations, simulations, work samples, or manager observations. The gap between confidence and demonstrated ability can identify where additional coaching, practice, or instructional redesign is needed.

Metric	What It Shows	Useful Real-Time Signal	Possible Action
Adoption	Whether people engage with learning	Low starts or repeat visits	Improve outreach, access, or relevance
Capability	Whether knowledge and skills are developing	Weak assessment or practice results	Add examples, coaching, or practice
Application	Whether learning appears at work	Few observed behavior changes	Reinforce with manager support
Performance	Whether job indicators improve	Movement in quality, speed, or safety	Investigate conditions affecting transfer
Business impact	Whether results justify investment	Shifts in revenue, retention, cost, or risk	Scale, revise, or stop the program

Watch Application In The Workflow

The third metric is application. This measures whether employees use the targeted skill or behavior after training. Depending on the program, evidence might include a new sales conversation, more effective feedback, consistent use of a process, improved documentation, or adoption of a digital tool.

Application data should be collected close to the point of work. Short pulse checks, manager observations, workflow analytics, customer feedback, and structured work samples can provide timely evidence. A learning team should also record barriers such as limited system access, conflicting priorities, unclear expectations, or insufficient manager reinforcement.

Link Learning To Performance

The fourth metric is performance improvement. Select operational indicators that the learning could reasonably influence, such as cycle time, quality scores, error rates, customer satisfaction, productivity, employee retention, or compliance results. Define the baseline before delivery and establish when a change should be visible.

This connection requires disciplined interpretation. Performance can change because of staffing, technology, incentives, market conditions, or process updates. Comparing trained and untrained groups, examining trends over time, or using manager-rated performance data can improve attribution. Guidance on connecting L&D metrics helps learning teams frame these measures around business priorities rather than activity counts.

Estimate Business Value

The fifth metric is business impact, including financial return where credible calculations are possible. Impact may appear as avoided costs, increased revenue, reduced risk, faster onboarding, fewer defects, or stronger retention. The right measure depends on the purpose of the program and the decision leaders need to make.

Forecasting can make evaluation useful before a program is fully deployed. Estimate expected adoption, behavior change, performance movement, and value, then compare those predictions with live evidence as the program progresses. The Predictive Evaluation model offers a way to connect forecasted learning effects with observed organizational results.

Build A Measurement Rhythm

Real-time effectiveness depends on cadence as much as metric selection. Adoption and capability data may be reviewed weekly, application every few weeks, and performance or financial impact monthly or quarterly. A dashboard should show current status, trend direction, segment differences, and the decision each metric supports.

Use a practical measurement rhythm:

Define one target behavior and one business result for every major learning initiative.
Establish baselines and expected timeframes before learners begin.
Combine system data with learner, manager, and operational evidence.
Set thresholds that trigger an intervention, such as coaching or content revision.
Review findings with business owners, not only within the learning team.

A measurement process becomes valuable when it changes delivery decisions. If adoption is weak, adjust access and communications. If capability is high but application is low, address workflow conditions and manager reinforcement. If performance improves without broad adoption, investigate what is actually driving the result.

Turn Evidence Into Better Decisions

Five metrics create a connected chain: employees engage, capability develops, skills appear in daily work, performance shifts, and the organization receives measurable value. Tracking them together prevents learning teams from overvaluing completion rates or relying on vague satisfaction scores.

Use these indicators to guide custom instructional design, leadership development, learning bursts, and enterprise learning strategy. Build the dashboard around decisions, review it while programs are active, and use the evidence to strengthen the link between employee capability and business results. Begin with one priority program, establish its baseline, and put the first live review on the calendar.

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.