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How do you use data to identify the training needs of your learners?

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As an instructor-led training (ILT) professional, you know that designing and delivering effective courses requires more than just content and delivery skills. You also need to understand the needs of your learners, their goals, their challenges, and their preferences. But how do you gather and analyze this information? How do you use data to identify the training needs of your learners?

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Hitesh Chopra

Technology Leader | Digital Transformation | AI & Automation | Business Growth Strategist
Eduardo Guidoni

Gerente Operacional | Coordenador de Facilities | Administrador Hospitalar | Gestor de Clínicas e Hospitais |…
Ahmed El-Marashly

Top LinkedIn Voice | Logistics & Supply Chain Expert | Business Consultant & Instructor | Driving Business Growth &…

1 Data sources for ILT

Data is ubiquitous and can be sourced from various places to collect and evaluate information about learners and their needs. Pre-training surveys or assessments are useful for gauging current knowledge, skills, attitudes, expectations, and motivations. Post-training surveys or assessments can measure learning outcomes, satisfaction, feedback, and application of the training in the work context. Additionally, learning analytics can help track behavior, performance, and engagement during the training. Finally, business metrics can link the training to organizational goals, objectives, and results.

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Hitesh Chopra

Technology Leader | Digital Transformation | AI & Automation | Business Growth Strategist
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Using data to identify the training need of learner greatly increase the overall training impact 1 Perform a pre-training assessment via surveys to gather learners feedback on current skill, knowledge gap 2 Review performance appraisal to identify areas where learners need additional training 3 Analyze data on training enrollment completion dropout to identify pattern and trends 4 Analyze how much time learner spent on different course or modules to understand their level of engagement 5 Analyze job related metrics such as sales figure, customer satisfaction scores to identify area of training 6 Review quality control data to identify deficiencies Compare organization training practice with industry benchmark to identify area of improvement

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Eduardo Guidoni

Gerente Operacional | Coordenador de Facilities | Administrador Hospitalar | Gestor de Clínicas e Hospitais | Palestrante | Lideran?a | Treinamentos Corporativos
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Utilizar a enquete no WhatsApp, Instagram e LinkedIn tem sido importante para mim. Google forma também até no link sympla fiz nos meus workshops e treinamentos

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2 Data analysis for ILT

Analyzing data for ILT can help uncover patterns, trends, gaps, and opportunities for improvement. This can answer questions such as who the learners are, their learning goals and objectives, their current levels of knowledge and skills, how they learn best, how they apply the learning to their work context, how they evaluate the training, and the impact of the training on the business. Understanding these elements can provide insight into their preferred learning styles, methods, and formats; their levels of satisfaction, feedback, and recommendations; and the indicators and measures of success and return on investment.

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Ahmed El-Marashly

Top LinkedIn Voice | Logistics & Supply Chain Expert | Business Consultant & Instructor | Driving Business Growth & Success | Operational Excellence | Business Transformation | MBA | CISCM | 32k+ Followers
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Identifying training needs for Instructor-Led Training (ILT) involves a structured approach to data analysis. Here is how you can use data effectively: 1. Assess learner knowledge with pre-training tests. 2. Analyze performance metrics and feedback. 3. Use evaluations to understand learner perceptions. 4. Identify skill gaps through competency comparisons. 5. Track engagement and progress with learning analytics. 6. Consider performance reviews for insights. 7. Benchmark internally and externally for alignment.

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3 Data-driven ILT design

Data analysis can be a great asset when designing ILT courses, as it helps ensure that the courses are tailored to the needs of learners and the goals of the organization. By leveraging data-driven ILT design, you can define learning objectives and outcomes based on gaps and opportunities identified by data, select content, methods and formats based on learner preferences and expectations, create engaging activities and materials based on learner behavior and performance, incorporate feedback and assessment mechanisms based on learning outcomes and satisfaction, and evaluate and improve the training based on data collected throughout the training cycle.

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Ali Hosseini, PMP

AI in Project Management | Business & Leadership Instructor | Digital Transformation
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Using data to identify the training needs of your learners involves analyzing performance metrics, feedback surveys, and assessment results to pinpoint skill gaps and learning objectives. This data-driven approach ensures that your ILT (Instructor-Led Training) design is tailored to address specific areas where learners need the most support. By focusing on evidence-based insights, you can create more targeted and effective training programs that meet the actual needs of your audience. #Training #DataDrivenDesign #LearnerNeeds #ILT

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4 Data-driven ILT delivery

Data analysis can be used to deliver ILT courses that are effective and engaging for learners. This data-driven approach enables you to adapt the training to the needs and levels of your learners, as well as facilitate and moderate the learning process. Additionally, data analysis can provide timely and constructive feedback, motivate and inspire learners, and allow you to reflect on your own practice as an instructor.

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5 Data-driven ILT improvement

Data analysis can be a powerful tool for ILT professionals to improve their courses and their own skills. By leveraging the data on learning outcomes, satisfaction, feedback, and business metrics, you can identify the strengths and weaknesses of your ILT courses, implement changes and enhancements, measure the effectiveness and return on investment, and develop your own competencies as an instructor. With data-driven ILT improvement, you can design, deliver, and improve courses that are relevant, engaging, and impactful for your learners and your organization.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Ahmed El-Marashly

Top LinkedIn Voice | Logistics & Supply Chain Expert | Business Consultant & Instructor | Driving Business Growth & Success | Operational Excellence | Business Transformation | MBA | CISCM | 32k+ Followers
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To identify training needs: 1. Performance Data Analysis: Review metrics like productivity and quality to spot areas needing improvement. 2. Surveys and Feedback: Gather input from employees to understand their perceived training needs. 3. Skill Gap Analysis: Compare required skills with employee skills to identify gaps. 4. Observations and Interviews: Observe and interview employees to pinpoint challenges and areas for improvement. 5. Industry Trends: Stay updated on industry developments to incorporate relevant skills into training programs. By combining these methods, you can develop a comprehensive understanding of the training needs of your learners and tailor your training initiatives to address those needs effectively.

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How do you use data to identify the training needs of your learners?

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1 Data sources for ILT

2 Data analysis for ILT

3 Data-driven ILT design

4 Data-driven ILT delivery

5 Data-driven ILT improvement

6 Here’s what else to consider

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