CASE STUDY
Steps to Conduct a Technical Research Project: A School Case Study
A practical framework for identifying problems and proposing data-backed solutions.
Effective technical research is the foundation of any successful project. It ensures that solutions are built to solve real problems, not just perceived ones. This article outlines the key steps we took in a needs assessment for a school district, providing a replicable model for similar projects.
Step 1: Define the Problem and Scope
Before any analysis, we clearly defined the core problem: "Administrative staff are spending excessive time on manual, repetitive tasks, leading to inefficiencies and potential data errors." The scope was limited to non-instructional administrative workflows, including enrollment, attendance, and parent communication.
Step 2: Stakeholder Interviews and Observation
We conducted structured interviews with key stakeholders: school administrators, office staff, and IT personnel. This qualitative data was crucial for understanding daily pain points. We supplemented interviews with direct observation, watching staff perform tasks to identify bottlenecks that they might not have explicitly mentioned.
Step 3: Data Collection and Analysis
We gathered quantitative data by:
- Time-logging: Asking staff to log time spent on specific tasks for one week.
- Document Analysis: Reviewing the number and complexity of spreadsheets and paper forms in use.
- Error Tracking: Analyzing records for common data entry errors and inconsistencies.
This data provided measurable evidence of the inefficiencies, such as "Staff spend an average of 8 hours per week manually reconciling attendance records."
Step 4: Synthesize Findings and Propose a Solution
The final step was to synthesize all findings into a clear report. We presented the identified gaps (e.g., data silos, lack of automation) and connected them directly to the quantitative data. This built a powerful, data-backed argument for the proposed solution: the adoption of a centralized administrative software system. The research provided the "why" needed to get stakeholder buy-in.