A performance support solution that equips NOC engineers with a structured troubleshooting methodology, job aids, and decision-support tools to improve problem resolution, consistency, and root-cause analysis.
Audience: NOC Engineers and Technical Support Personnel
Responsibilities: Performance Analysis, Instructional Design, Task Analysis, Job Aid Design, eLearning Development, Evaluation
Tools Used: PowerPoint, Microsoft Forms, Sharepoint, Canva, Excel, Microsoft 365, Articulate 360
The client experienced a high volume of repeated Tier 2 escalations despite maintaining an extensive knowledge base and providing ongoing virtual training opportunities. Leadership believed additional technical training was needed because frontline engineers were frequently escalating issues that senior personnel felt should have been resolved at the Tier 1 level.
Through interviews and workflow analysis, a different challenge emerged. Frontline engineers generally had access to the necessary information, but many struggled when a situation did not exactly match an existing procedure. Unless the solution was explicitly documented in a manual or knowledge base article, engineers often had difficulty determining how to analyze the problem and identify an appropriate next step. This led to inconsistent troubleshooting approaches, repeated escalations to Tier 2 and Tier 3 personnel, increased workload for senior engineers, and growing concerns about burnout.
After conducting interviews with support personnel and reviewing current troubleshooting practices, I determined that additional product-specific training would not address the root cause of the problem. Engineers already had access to technical information and documented procedures. The larger challenge was the lack of a consistent methodology for diagnosing unfamiliar issues when an answer was not readily available.
To address this gap, I designed the ASDD Systematic Troubleshooting Methodology. Rather than teaching engineers how to solve specific problems, the framework provides a repeatable process for approaching unfamiliar troubleshooting situations. The methodology guides engineers through four stages: Analyze, Synthesize, Develop, and Document, helping them move beyond following procedures and develop stronger problem-solving skills.
Alternative solutions were considered, including expanding the knowledge base and creating additional virtual training focused on common escalation scenarios. These options were not selected because they continued to emphasize memorizing solutions rather than developing a transferable troubleshooting process. The ASDD methodology was chosen because it could be applied across systems, technologies, and future issues that had not yet been documented, reducing dependence on senior support staff while improving consistency and confidence among frontline engineers.
To propose the best solution for the client, I began by investigating the reported problem of repeated Tier 2 escalations. Leadership initially believed additional technical training was needed, so I reviewed the existing training approach, examined available documentation, and gathered information from support personnel responsible for troubleshooting and escalation.
To gain multiple perspectives, I conducted interviews with frontline and senior support staff to better understand how troubleshooting was being performed in practice. These conversations revealed that engineers generally had access to the information they needed, but often struggled when issues did not exactly match existing procedures or knowledge base articles.
I then analyzed the tasks performed by experienced troubleshooters to identify the behaviors that distinguished successful problem solving from trial-and-error troubleshooting. These findings informed the development of the ASDD methodology, the learning objectives, the instructional prototype, and the assessments used to evaluate learner performance. The resulting solution focused on building a repeatable troubleshooting process rather than teaching additional product-specific knowledge.
As part of the analysis process, I reviewed stakeholder interviews, support team interviews, existing training materials, and observations of troubleshooting practices to better understand why repeated Tier 2 escalations continued despite available documentation and training resources.
Using these findings, I identified the key behaviors performed by successful troubleshooters and compared them to the approaches used by less experienced engineers. This analysis revealed that the primary challenge was not technical knowledge, but the ability to systematically evaluate information, form evidence-based hypotheses, develop appropriate solutions, and communicate findings effectively.
I then translated these behaviors into four learning objectives that became the foundation of the ASDD methodology: Analyze, Synthesize, Develop, and Document. Organizing the content around these observable actions helped ensure the training focused on improving workplace performance rather than simply increasing product knowledge.
To validate the solution before full development, I created an interactive prototype in PowerPoint that could later be imported into Articulate Storyline. The prototype allowed stakeholders and learners to experience the structure, flow, and functionality of the training while providing early feedback before additional development time was invested.
The prototype included instructional content, guided practice activities, knowledge checks, and realistic troubleshooting scenarios designed to reinforce the ASDD methodology. Microsoft Forms was integrated to support assessments and collect learner responses, allowing me to evaluate both the learning experience and the effectiveness of the assessment strategy.
Throughout development, I focused on creating a clear and intuitive user experience that mirrored how engineers would apply the process in the workplace. The prototype demonstrated how learners would move through the Analyze, Synthesize, Develop, and Document phases while receiving feedback and opportunities for practice. This approach ensured the design could be tested, refined, and validated before being migrated into a more robust eLearning platform.
After collecting and applying feedback from the prototype, I developed the remaining course content and refined the learning experience based on recommendations from instructional design peers, stakeholders, and potential learners. This iterative process helped improve the clarity of the instruction, strengthen the practice activities, and ensure the final product aligned with both learner needs and project goals.
One feature I am particularly proud of is the downloadable troubleshooting infographic created in Canva. While the training introduced the ASDD methodology, I wanted learners to leave with a practical performance support tool they could use on the job. The infographic provides a concise reference for the Analyze, Synthesize, Develop, and Document process, allowing engineers to apply the methodology when working through unfamiliar issues after completing the training.
Since the ultimate goal was improving workplace performance rather than knowledge retention alone, the infographic served as an extension of the learning experience and reinforced the troubleshooting process at the moment of need. By combining formal instruction with a job aid that could be referenced during real troubleshooting situations, the solution better supported transfer of learning to the workplace.
The project was evaluated through a small-group pilot involving eight learners. To measure effectiveness, I developed a pre-assessment, embedded practice activities, post-assessment, and learner feedback survey. Results showed strong performance in three of the four ASDD phases, with learners demonstrating proficiency in Analyze (82.8%), Synthesize (95.2%), and Develop (90.2%). The Document phase produced significantly lower scores (50.4%), revealing an opportunity for improvement.
The evaluation process also revealed a broader organizational challenge. Although the client regularly delivered training, there was no established process for evaluating training effectiveness after implementation. The pilot demonstrated how structured evaluation data could be used to identify strengths, uncover performance gaps, and guide future revisions. As a result, I introduced the Kirkpatrick Model as a framework the organization could use to support ongoing training evaluation and continuous improvement efforts.
The findings showed that learners were generally successful at diagnosing problems and developing solutions but struggled to consistently document their findings in a clear and repeatable manner. Based on these results, I recommended additional modeling of documentation practices, more guided practice opportunities, and stronger transitions between the troubleshooting process and documentation requirements. The pilot confirmed that the ASDD framework was effective in developing systematic troubleshooting behaviors while also highlighting areas where the learning experience could be strengthened.
Note: The final deliverable was created for a client and is not available for public distribution. Non-identifying screenshots and project artifacts have been included with permission to demonstrate the design process, learning strategy, and visual design decisions while maintaining client confidentiality.