Innovation PPT Team 2. Innovation Frame Insights

IT Frame Insights

1. Module 4 : Frame Insights Presented By : Team 2

2. Observations to Insights Research produces a number of observations about people and context. In this method we systematically think through all these observations and extract valuable insights. An insight, according to common definition, is the act of “seeing into” a situation or understanding the “inner nature” of what we observe. It is our learning from an observation through our interpretation by asking the question why. It encapsulates a point of view, a generally acceptable interpretation that we can somewhat objectively rationalize. The most useful insights are nonobvious and surprising. An example description of an observation is: “People so often move a chair a few inches this way and that before sitting on it.” An example insight description for the above is: “Before taking possession of things, people demonstrate their control over them as a declaration of autonomy to themselves.”

3. HOW IT WORKS Step 1: Gather observations and describe them. STEP 2: Ask why and find an agreed-upon rationale. STEP 3: Describe the Insights. STEP 4: Organize the insights. STEP 5: Discuss and refine.

4. BENEFITS Supports transition Builds knowledge base Encourages comprehensiveness Makes process transparent Promotes shared understanding

5. Insights Sorting The method starts with gathering all the insights we have generated from research. We write insight statements on sticky notes and start sorting them to find an agreed-upon clustering logic. Once the team agrees on this clustering logic, we resort all the insights to reveal interesting clustering patterns. Analyzing these clustering patterns not only gives us a better understanding of the topic but also provides a strong foundation for generating concepts. To get the most value out of this method, we should use a manageable number of insights—not more than 100 insights for a small project. This method is a quick and rough analog version of the digital spreadsheet-based matrix sorting.

6. HOW IT WORKS STEP 1: Gather insight statements. STEP 2: Do a sample sort and reach alignment on clustering logic. STEP 3: Cluster and recluster insight statements. STEP 4: Define the clusters. STEP 5: Discuss next steps.

7. BENEFITS Reveals patterns Reveals relationships Structures existing knowledge Facilitates discussion

8. User Observation Database Queries Observation Queries is a method that uses a database like the User Observations Database, a continuously updated collection of user observations and insights gathered from research projects from around the world that can be searched by keywords. In this database, user observations are organized with their related photos/videos/field notes, descriptions, quotations, activities, and insights. The observations are also tagged with keywords from frameworks such as POEMS (people, objects, environments, messages, and services). We send queries to the database based on our conjectures about possible behaviors. For example, if we have a conjecture that the presence of televisions in the kitchen affects cooking behaviors, we could enter a keyword query to search for all observations with “family members in kitchens viewing televisions and cooking” and look at the results. We can review the found observations in detail, look for patterns across these observations, test the validity of our conjectures, and gain valuable insights.

9. HOW IT WORK STEP 1: Capture conjectures. STEP 2: List keywords that relate to your conjectures. STEP 3: Send queries. STEP 4: Review query results. STEP 5: Modify queries and repeat the search. STEP 6: Summarize findings and discuss.

10. BENEFITS Enables systematic analysis Encourages comprehensiveness Handles large sets of data Reveals patterns

11. User Response Analysis User Response Analysis is a method that uses data visualization techniques, such as color and size, to analyze large quantities of qualitative data gathered from user surveys, questionnaires, interviews, and other ethnographic research methods. This method takes all of the qualitative, text-based data from ethnographic research—what users have said—and inputs it into a spreadsheet for data manipulation using keyword filters, data organization by arranging information in specific columns and rows, and visual coding using color to identify patterns. The visual approach helps uncover patterns from the data and find insights into what matters most to users

12. HOW IT WORK STEP 1: Gather user research data into a spreadsheet. STEP 2: Reduce and organize the data. STEP 3: Determine the kinds of searches to conduct. STEP 4: Visually code the queried results. STEP 5: Analyze visualization for patterns and insights. STEP 6: Document insights.

13. BENEFITS Enables systematic analysis Handles large sets of data Keeps grounded in research Organizes information for easy access Reveals patterns

14. THANK YOU