DATA FOR SELF-ASSESSMENT

Data for Self-Assessment is a participatory process to achieve high-quality, aligned data. Participants share existing data, tools, and practices. They leave each workshop with improved skills and materials in hand. Select one or all six workshops to strengthen both your capacity and your process for continuous improvement.

 

#1. DUSTY DATA

Pull all the data from your files. Determine exactly what data you have and what you need to demonstrate performance excellence based on your mission, goals, stakeholders, and model for excellence.

#2. GAP ANALYSIS

Examine the validity, reliability, and usefulness of your current data collection methods. Consider a wide range of other questions and methods. Design an efficient, ethical, and informative data collection process with maximum buy-in from all stakeholders.

#4. QUALITATIVE DATA

Sharpen your skills in conducting interviews, observations, and focus groups. Use content analysis to interpret results. Turn open-ended questions into closed-response items for surveys. Take the surveys for a test drive.

#5. QUANTITATIVE DATA

Use simple tricks for numerical data analysis using MS Excel or other statistical software. Figure out what works for whom and why. Look beyond the numbers for compelling stories. Be clear about the limitations of your methods.

#6. ACTION PLANNING

Interpret the data you have collected. See it from different points of view. Look for trends and exceptions. Decide on next steps, including who does what and by when.  Set a timetable for the next cycle of your continuous improvement process.