Part One ::: Unpack Your Empathy Episode Data -- Step 1: Show Your Work

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1. Challenge Statement

2. Description of Challenge: Provide a brief description of your challenge. What is the reality that creates a need for

this challenge?

Step 2: Describe Your Data

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3. Provide an example of your unpacked empathy episode data a first-, second-, and third-person fieldwork episode of your choice.

a. First-person Episode

b. Second-person Episode

c. Third-person Episode

Step 3: Reflect on the Data

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4. What were your impressions of the process used by your team to unpack the emotional data? What could be improved next time?

5. Which empathy perspective (first, second, or third) did you find most difficult to unpack, and why?

6. Which empathy perspective provided you with the most relevant or abundant data?

7. In what way(s) did your understanding of your challenge evolve as you unpacked the empathy data?

Part Two ::: Modeling Your Empathy Episode Data -- Step 1: Synthesize Your Work

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1. Emotional Data Relationship Map - Provide a description of the visualization technique you used to map your empathy episode data.

2. How many categories and subcategories did you define? Note which you feel are most relevant to your challenge.

3. How many high intensity affinities did you define? What does this indicate about your system goals?

4. Describe a notable insight you gleaned from mapping the emotional data relationships.

5. Flow of Thoughts - Provide the narratives for three categories from your emotional data relationship map.

6. Personas - Provide three completed personas and their associated system goals.

Step 2: Reflect on Your Outcomes :

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7. Reflect on the process of emotional data modeling and development of personas. What aspect of the emotional data modeling did you find most rewarding? What aspects were most challenging?

8. Of the System Goals you developed, which excites you the most? Why?

9. How do the resulting user narratives relate to your challenge? Be explicit with examples from your fields of action.