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Working with Qualitative Information

  1. Working with Qualitative Data Ray Poynter 24 February 2022
  2. Sponsors Communication
  3. Finding and Communicating the Story in the Data Ray Poynter To be published Mid-2022
  4. Agenda 1. What is qualitative data? 2. Story Finding Framework 3. Define the problem 4. Using the problem as a lens 5. Find the Big Picture 6. The role of automation 7. The role of theory 8. Q & A
  5. What is Qualitative Data? 1 119 101 451 10 1600 66 69
  6. What is (the most typical) Qualitative Data? • Focus groups discussions • Depth interviews • Online discussions • Participant videos • Ethnographic observations • Social media posts • Open-ended comments from surveys
  7. The Framework 1. Define the Problem 2. Assess the Wider Context 3. Find the Big Picture 4. Extract the Key Findings 5. Determine the Message 6. Create the Story 7. Communicate the Story 8. Follow Up
  8. 1 Define the Problem If you don’t define the problem properly, you are unlikely to find the answer The process includes: • What is the business question? • What are the research questions? • What do we already know? • What does success look like? • What does the business plan to do after receiving the answers? • What are the predictions?
  9. Symbiosis of Collection and Analysis Establish the Question and what is Known, Plan Research Do Research Analyse Update plan Analyse Story
  10. Symbiosis of Collection and Analysis Depths & Focus Groups • Discussion plan, interview, analysis & update Online discussions & Digital diaries • Discussion plan, responses, analysis & update Ethnography, Semiotics & Social Media • Search plan, analysis, new locations – confirming and disconfirming cases However, you may receive all the data before the analysis starts. Let your early analysis guide you on whether to 1) process the data further or 2) to search for additional material.
  11. Qualitative Paradigm Constructionist (as opposed to Positivist) Qual Findings = the data + the method + the analysis • Quant Findings ≈ the data + the method The data: Dog + shredded slipper Method: Sensemaking Analyst Aware of history of slipper shredding Finding The dog chewed the slipper, but a human created the opportunity
  12. Don’t Describe - Explain Description The man had quite a lot of white wine, Emmental cheese (grated), and Gruyere cheese (grated). He also had a small amount of garlic, lemon juice, cornflour, and kirsch. As well as a large number of cubed bread pieces and seemed to be getting ready to cook using a large, heaving metal pot. Synthesis He was making a classic, Swiss-style fondue. If I am asking you what the man was doing, I may only want to know he was cooking, I might want to know he was preparing fondue, but in very few cases would I simply want a description/list of the things you had observed. I might also be interested in why he was making a fondue, how did making a fondue meet his needs, what impact did this have on the the people around him.
  13. Overarching Structure No uniform No books Travel costs School fees Worry Mind elsewhere Tired in School Headaches Lack school materials Unable to pay school costs Worry about dependents Feeling exhausted Physically & emotionally stressed Can’t afford school These children have tangible problems Adapted from: www.open.edu/openlearnworks/mod/resource/view.php?id=52658 Codes Concepts Categories Theory
  14. Coding for Counting ID Age Gender Likes Boy Pack Music Nothing 1001 21-30 M The boy and the music 1 0 1 0 1002 41-50 M The new pack 0 1 0 0 1003 41-50 F The way the young man opens the packaging 1 1 0 0 1004 31-40 F Nothing 0 0 0 1 1005 51-60 O Nothing in particular 0 0 0 1 1006 21-30 M The tune 0 0 1 0 1007 61-70 M The main character, very charming 1 0 0 0 1008 21-30 F The colours on the pack 0 1 0 0
  15. Coding for Structure No uniform No books Travel costs School fees Worry Mind elsewhere Tired in School Headaches Lack school materials Unable to pay school costs Worry about dependents Feeling exhausted Physically & emotionally stressed Can’t afford school These children have tangible problems Adapted from: www.open.edu/openlearnworks/mod/resource/view.php?id=52658 Codes Concepts Categories Theory
  16. Formal Methods for Qual Analysis A wide range of alternative approaches: • Grounded Theory • Narrative Analysis • Thematic Analysis • Discourse Analysis • Conversation Analysis • Sensemaking
  17. Conversation Analysis Q. What did you take into account when you decided to buy this new technology? What did we... we looked at cost, we looked at reliability and we sort of, we compared a few different types, talked to some people that had them. Q. When you say you talked to some people who were they? Some dental colleagues. There's a couple of internet sites that we talked to some people... people had tried out some that didn't work very well. Q. So in terms of materials either preventive materials or restorative materials; what do you take in account when you decide which one to adopt? Well, that's a good question. I don't know. I suppose we [laughs] look at reliability. I suppose I've been looking at literature involved in it so I quite like my own little research about that, because I don't really trust the research that comes with the product and once again what other dentists are using and what they've been using and they're happy with. I'm finding the internet, some of those internet forums are actually quite good for new products. Conversation Analysis Pauses/Repairs/Disconnects: Person is portraying that they are not confident. Restructured answer “Well, that’s a good question.” – Indicates the question was not a good question, deals with it by saying ‘Don’t know’ and then proceeds to answer what he/she thinks the questioner is hoping to learn. From an example of Grounded Theory www.biomedcentral.com/imedia/4037816045634649/supp3.doc
  18. Discourse Analysis Q. What did you take into account when you decided to buy this new technology? What did we... we looked at cost, we looked at reliability and we sort of, we compared a few different types, talked to some people that had them. Q. When you say you talked to some people who were they? Some dental colleagues. There's a couple of internet sites that we talked to some people... people had tried out some that didn't work very well. Q. So in terms of materials either preventive materials or restorative materials; what do you take in account when you decide which one to adopt? Well, that's a good question. I don't know. I suppose we [laughs] look at reliability. I suppose I've been looking at literature involved in it so I quite like my own little research about that, because I don't really trust the research that comes with the product and once again what other dentists are using and what they've been using and they're happy with. I'm finding the internet, some of those internet forums are actually quite good for new products. DA - Footing The role the dentist is filling? Somebody who is not confident, and who is doubtful about the sources available to him/her.
  19. Discourse Analysis Q. What did you take into account when you decided to buy this new technology? What did we... we looked at cost, we looked at reliability and we sort of, we compared a few different types, talked to some people that had them. Q. When you say you talked to some people who were they? Some dental colleagues. There's a couple of internet sites that we talked to some people... people had tried out some that didn't work very well. Q. So in terms of materials either preventive materials or restorative materials; what do you take in account when you decide which one to adopt? Well, that's a good question. I don't know. I suppose we [laughs] look at reliability. I suppose I've been looking at literature involved in it so I quite like my own little research about that, because I don't really trust the research that comes with the product and once again what other dentists are using and what they've been using and they're happy with. I'm finding the internet, some of those internet forums are actually quite good for new products. DA – Repetition Reliability & “Internet sites” No repetition of cost. Cost is a ‘preferred response’ – it is used and discarded.
  20. Discourse Analysis Q. What did you take into account when you decided to buy this new technology? What did we... we looked at cost, we looked at reliability and we sort of, we compared a few different types, talked to some people that had them. Q. When you say you talked to some people who were they? Some dental colleagues. There's a couple of internet sites that we talked to some people... people had tried out some that didn't work very well. Q. So in terms of materials either preventive materials or restorative materials; what do you take in account when you decide which one to adopt? Well, that's a good question. I don't know. I suppose we [laughs] look at reliability. I suppose I've been looking at literature involved in it so I quite like my own little research about that, because I don't really trust the research that comes with the product and once again what other dentists are using and what they've been using and they're happy with. I'm finding the internet, some of those internet forums are actually quite good for new products. DA – Evaluative terms I quite like my own little research I don’t really trust the research that comes with the product Some of those internet forums are actually quite good for new products
  21. DA Thoughts Q. What did you take into account when you decided to buy this new technology? What did we... we looked at cost, we looked at reliability and we sort of, we compared a few different types, talked to some people that had them. Q. When you say you talked to some people who were they? Some dental colleagues. There's a couple of internet sites that we talked to some people... people had tried out some that didn't work very well. Q. So in terms of materials either preventive materials or restorative materials; what do you take in account when you decide which one to adopt? Well, that's a good question. I don't know. I suppose we [laughs] look at reliability. I suppose I've been looking at literature involved in it so I quite like my own little research about that, because I don't really trust the research that comes with the product and once again what other dentists are using and what they've been using and they're happy with. I'm finding the internet, some of those internet forums are actually quite good for new products. The story? The dentist lacks confidence, he/she mentions cost, but comes back to the topic of reliability. He/she distrusts the research from the manufacturers, so tries to do his/her own research, by connecting with people who have used the new products, via internet forums Sales Recommendation Connect this type of dentist with happy users. Encourage reliability testimonials and SM posts.
  22. Finding the Story • Use the client’s question as the lens • Tag, code, memo the material as you analyse • Challenge what is known/believed/predicted • Find the main story • Find the relevant exceptions/differences • Create an overall structure, the plot • Is it good news or bad news?
  23. Finding the Clues in the Data 1. Using the question as a lens 2. Look for: • Connections • Contradictions • Curiosities • Surprises • Omissions 3. Assemble the story
  24. Connections Looking at the feedback about a pub restaurant in a hiking area there was a common pattern 1. Many people at the end of day’s walking liked the pub, service and food 2. Many people who had driven to the pub did not like the service and food (but they liked the building/location). Ideas to investigate a) Did the two groups have different expectations/needs? b) Did the staff have more affinity with the hikers? c) Did the presence of the hikers detract from the experience for some of the non-hikers?
  25. Contradictions Looking at reviews of visits to the Eiffel Tower, there is an interesting group who A. Felt they had to visit it B. Did not really enjoy the visit C. Still felt afterwards they had to visit it This is a contradiction in terms of what we expect the rationale for a visit to be. Ideas to explore: Would not knowing what it was like have been a worry? Did they worry what others would say if they did not visit it? Did they feel it was a necessary duty? (like visiting a relative when in the neighbourhood) Does this create a business opportunity – get the hit quicker, with less fuss, for a fee?
  26. Curiosities Just before the year 2000 there was a growth in the supply of handheld GPS devices, to help hikers navigate the wilds In conversations with the early adopters, it became clear that the main actual use was to collect information on how many steps had been taken, how far the route had been, what was the average speed, and how much height was gained and lost. (This predated the rise of things like the Fitbit and the Apple Watch collecting exercise data.) Ideas to explore Always look at what people are doing, if what they are doing is not what was intended, it could be the best next step
  27. Surprises Surprises often stem from having the wrong expectations One client asked for groups with tech engineers to see why they were choosing chip X over chip Y, given chip Y was better. Were there advertising, marketing, logistical reasons? We discovered that the engineers who used X and Y had found X was actually better than Y – time to tear up the discussion guide and pivot Ideas to explore What criteria were the engineers using to define ‘better’? Were they wrong in any of their ‘facts’? What had the client misunderstood about the comparison between X and Y?
  28. Omissions • What did people not say? What did they not do? What did they not take a photo of? • A class of Masters students were asked to capture photos of their meals over the weekend as part of their research course • When we (as a group) analysed the pictures, it was noticeable that almost nobody had collected a photo of a boring meal When you read a reference for a prospective new employee, you should always pay attention to omissions. Did they mention punctuality, did they mention accuracy, did they mention ability to get on with others? If it is not there, it speaks loudly!
  29. Confirming and Disconfirming Processes • If people who love you don’t like it, then ‘it’ is really is bad • If people who don’t like you, like it, then it is good • If people who say they would buy it, can’t say when and how they would use it, then their purchase is disconfirmed • If people who say they would buy it can describe how they buy it, where they would store it, how and when they would use it – we have confirming evidence
  30. Find the root cause – by using the ‘5 Whys’ The car won’t start 1. Why? – The battery is dead. (First why) 2. Why? – The alternator is not functioning. (Second why) 3. Why? – The alternator belt has broken. (Third why) 4. Why? – The alternator belt was well beyond its useful service life and not replaced. (Fourth why) 5. Why? – The vehicle was not maintained according to the recommended service schedule. (Fifth why, a root cause)
  31. The Lead Nora Ephron When Harry Met Sally Sleepless in Seattle 1st Day in Journalism School 5 Ws (Who, What, When, Where & Why?) Asked to write the Lead for the school newspaper “The entire school faculty will travel to Sacramento next Thursday for a colloquium in new teaching methods. Among the speakers will be anthropologist Margaret Mead, college president Dr. Robert Maynard Hutchins, and California Governor Edmund Brown.” All the students wrote about the 5Ws – good, but not right. The Lead? No school next Thursday!
  32. Qualitative Analysis and Numbers In qual analysis we tend to work with the following quantities • Nobody • Almost nobody • A few • Many • Almost everybody • Everybody
  33. Qualitative Analysis and Numbers
  34. Using Automation, Algorithms and AI
  35. The Building Blocks of Stories Fact 1 Fact 2 Fact 3 Fact 4 Fact 5 Fact 6 Fact 7 Fact 8 Fact 9 Finding 1 Finding 2 Finding 3 Finding 4 Finding 5 Finding 6 Finding 7 Finding 8 Insight
  36. Categorizing the Facts Fact a Fact d Fact c Nice to Know Fact b Fact f Fact g Fact l Fact e Fact h Fact i Fact j Fact k
  37. Extract the Findings Fact a Fact d Fact c Nice to Know Fact b Fact f Fact g Fact l Fact e Fact h Fact i Fact j Fact k Finding a Finding b Finding c Finding d Finding e
  38. Secondary Findings Fact a Fact d Fact c Nice to Know Fact b Fact f Fact g Fact l Fact e Fact h Fact i Fact j Fact k Finding a Finding b Finding c Finding d Finding e Finding f
  39. Extract the Insight Fact a Fact d Fact c Nice to Know Fact b Fact f Fact g Fact l Fact e Fact h Fact i Fact j Fact k Finding a Finding b Finding c Finding d Finding e Finding f Insight
  40. So What? Fact a Fact d Fact c Nice to Know Fact b Fact f Fact g Fact l Fact e Fact h Fact i Fact j Fact k Finding a Finding b Finding c Finding d Finding e Finding f Insight Action
  41. Using ‘Cut Up’ for Narratives Dadaism William S Burroughs Beat poet & artist David Bowie
  42. Using ‘Cut Up’ for Narratives Mind mapping software can also be used For each discussion, set of images, or smartphone videos – find the main story. Write this story on a card – perhaps with colour coding. Move the cards around to find the story. Similar cards close together. Missing links suggest more analysis required. Build the story architecture.
  43. Finding the Patterns in the Data 1. Using the question as a lens 2. Making the patterns easier to see 3. Look for Connections, Contradictions, Curiosities, Surprises & Omissions 4. Assemble the story
  44. Not a shopping list of what was said Describe the meal
  45. Questions?
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