Simonsen J. & Frieberg, K. (2014) Collective Analysis of Qualitative Data. In Situated Design Methods. Cambridge: MIT Press p. 99-118
-Conduct User Study 1 Contextual Interviews about portfolios with CMU students UPCOMING DUE DATES 10/4 Review User Study 1: User Profile Insight Boards in class 10/6 User Study 1: Findings and Model Due **Start planning your user study 3, meet with me for ideas about where and with who to conduct the research.
Jordan Marks
9/28/2016 12:50:25 pm
Simonsen and Friedberg provide a thorough description of affinity diagramming and diagnostic mapping, two systematic methods of collectively analyze qualitative data. I appreciated the instructional approach the authors took in describing these analytical methods: they described the various steps involved in each of these methods and grounded them in a case study of a change made in a medical setting.
Tom Garncarz
9/28/2016 06:34:12 pm
I definitely agree that the thorough and straightforward approach taken to describing the creation and use of affinity diagrams and diagnostic maps, and I think this essay will be a great resource for creating those artifacts further down the road. Having just made an affinity diagram for a different class (UCRE) this past week, there were a few points in here that were new and surprised me, and would definitely have been good to know prior to making our diagram!
Stephanie Liao
9/28/2016 10:12:34 pm
Simonsen and Friberg’s except from Situated Design Methods goes into detail about two data driven analysis methods: affinity diagramming and diagnostic mapping. I believe in data driven methods because the insights that the methods generate directly come from the user. If anyone goes off tangent, its really easy to bring them back to focus since these insights are based on what the users themselves have identified and said.
Eunsol Byun
9/28/2016 11:06:53 pm
The reading made very clear points about the two design methods, affinity diagramming and diagnostic mapping. They both are great ways to process qualitative data that are gathered from user studies.
Cory Bird
9/29/2016 12:13:49 am
Simonsen and Friedberg explain, “A systematic method for conducting collective analysis of qualitative data.” In the introduction of the paper they introduce the idea that the collective interpretation process is supported by the affinity diagramming technique and the abductive collective process is facilitated by the diagnostic mapping technique. They also mention that affinity diagramming has been widely used in design methods, which even included contextual design.
Lily Soyeon Kim
9/29/2016 12:15:32 am
Reading through this paper, J. simonsen and K. Friberg gave insight to further skills we could incorporate to our design process in working through this project. Affinity diagramming and diagnostic mapping are both ways to organize and process information given by the user. Affinity diagramming allows for the assortment of information and helps to map out the interconnectivity of issues that come up without initial restriction. Affinity diagrams also helps to collect all of the information out before going into a more detailed stage of separating into categories. Diagnostic mapping then takes the organized problems from the affinity diagrams and analyzes the relationships between to create more holistic visions of the problems and potential solutions.
Amanda Johnson
9/29/2016 12:58:55 am
In Collective Analysis of Qualitative Data, Simonsen and Freiburg detail two methods, affinity diagramming and diagnostic mapping, for collectively processing large amounts of qualitative data. Conventional methods of processing data may not be effective for problem solving, however affinity diagramming and diagnostic mapping methods, rooted in grounded theory, allows problems and categories to emerge from the data. The collective aspect to the methods allows and facilitates more interpretation and helps generate general insights of the data. However, I do think the author brings up an important point of having people synthesize the data on their own before they come together as a team.
Miki Nobumori
9/29/2016 02:00:40 am
In Situated Design Methods, Simonsen and Friberg presents two techniques for processing qualitative data: affinity diagramming and diagnostic mapping. They describe affinity diagramming as a method to accumulate and reorganize large amounts of data to identify core problems from the comments and insights from observations and interviews. Diagnostic mapping is a technique for a group to discuss and agree on how to interpret and intervene to solve the problem by forming hypothetical explanations based on the affinity diagram. Both techniques support collective discussion among the group running the design process, by utilizing methods that require active participation using visual organization of data. The authors emphasize the value of collectively analyzing qualitative data due to it’s complexity, as well as the importance of gathering different perspectives and offering participants a way to contribute before proceeding to build new technologies. I agree with the authors on the idea that collective analysis is important, as we can see examples today where companies are more successful because they involve designers and non-designers in the design process.
Nick Lewis
9/29/2016 05:58:29 am
Great, a paper on affinity diagrams! I've heard the term come up quite a few times and I am not familiar with it. I had tried to look it up but a quick glance at some websites didn't help clarify the concept. This chapter makes the purpose quite clear from the outset. "Systematically process qualitative data as a group," "identify core problems," and methods to fix problems.
Charleen Yang
9/29/2016 07:49:55 am
A philosopher Otto Weininger once mentioned: “All genius is a conquering of chaos and mystery. Affinity Diagram and diagnostic mapping are the tools in the design process to help groups to analyze and organize those large amounts of qualitative information from the user research. Simonsen and Friedberg in this chapter utilize a case study in the medical field to explain these two methods through showing readers each step involved in these particular methods. In their writing, they stated that affinity diagramming separates information into logical groups in the early stage of the user research process and group the related and relevant information in the same category. Patterns will reveal from those sorting items on information similarity. Diagnostic mapping provides insights and new ideas out of those disparate pieces of information and encourages group discussion and participation’s reflections.
Bria Best
9/29/2016 08:59:50 am
Qualitative methods in particular interviews lead to a mass of data, how can a team think through this data set and pull out meaningful information? Situated Design Methods discusses two techniques - affinity mapping and diagnostic mapping, both methods are very useful when processing large amounts of qualitative data. With an affinity map, each note from an interview is cut up into snippets. The team reads the note one by one, introducing all members to the data. Then the note is grouped with similar ideas, were a Post-It note is tagged to give the team a quick and meaningful reference. Once a complete picture is formed and several hundred notes are placed on the wall, breakdowns and problems appear. Familiarity and organization of the data is the backbone of the affinity diagram.
Yilin Ying
9/30/2016 06:32:13 pm
As a former natural science student, I was not quite familiar with qualitative research methods and was always holding a skepticism in mind on how it can work with out quantitative comparisons or reasoning.
pei lin
10/1/2016 10:52:02 pm
Overall, this article is a very thorough presentation of affinity diagramming and diagnostic mapping. I feel like it is a handbook that we can directly use. This article not only uses the example of EMR to illustrate the uses of these two techniques, but also contain practical guidelines specifically for students. In this summary, I’d like to review the two workshop techniques, and then point out some interesting things that worthy noticing. Comments are closed.
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