Your partners in creating

effective learning strategies.

Pentonix's expert Advisory and Consulting services empower organizations to create dynamic, effective and future-ready learning ecosystems. We deliver tailored solutions that align with your unique goals, driving measurable impact and a strong return on your learning investment.

Training Needs Analysis

(TNA): Your Path to

A robust TNA process is the foundation of impactful employee development. At Pentonix, we take a strategic approach to identify and address skill gaps, ensuring training programs are precise, purposeful and aligned with your organizational objectives. We use AI analytics tools to analyze learner performance, identify skill gaps and recommend targeted training solutions

  • Regular Analysis: Through assessments, surveys, and performance evaluations, we identify evolving learning needs, ensuring training remains relevant and effective.
  • Stakeholder Engagement: By consulting with employees, managers and department heads, we gather diverse perspectives to shape training that resonates across all levels of your organization.
  • Responsive Solutions: Armed with actionable insights, we craft training programs designed to close identified gaps, align with business goals and deliver measurable outcomes.

From Implementation to

Continuous Improvement

Our commitment extends through every phase of the TNA process:

  • Implementation and Feedback: Training sessions are delivered with selected methodologies, and participant feedback guides real-time refinements to enhance effectiveness.
  • Data-Driven Documentation: Every step is meticulously documented, with comprehensive reports providing transparency and actionable insights to stakeholders.
  • Follow-Up and Improvement: Post-training follow-ups ensure the application of skills on the job, while continuous feedback informs future initiatives for sustained success.
  • Closing the Loop: Real-world impact is evaluated to measure improvements in performance and organizational outcomes, fostering a feedback loop for ongoing refinement.

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