
Part 1: Qual Data Synthesis
Concepts & Summaries
interview data synthesis for everyone
Part 1: Qual Data Synthesis
Concepts & Summaries
Self-paced Course
(data synthesis for everyone, part 1) How can you create reliable knowledge from qualitative data–that stakeholders trust?
- 25 videos, in 4 sections
- Total video time: 11.75 hours
- Demos and examples
- Practice, reflections & quizzes
- Closed captions
- Listen w/ or w/out the screen
Length of Access:
6 Months
About This Course
Prerequisites
Everyone can do this kind of data synthesis. You don’t need any research expertise. You only need to understand some ideas from Listening Deeply.
Assess your readiness with this quiz.
Here are the ideas you will want to know:
- Understand the 4 potential layers of a topic, and the 3 concept types in each layer
- Recognize the 3 interior cognition concept types in communication (inner thinking, emotional reactions, guiding principles)
- Recognize when a person is generalizing or recounting a particular memory
- Understand how listening sessions are framed by a person’s purpose
If you are trying for certification, then you definitely need:
- Either the course Listening Deeply
- Or the book Time to Listen
Recommended Knowledge
- Video: The Person’s Purpose
- Video: Research Tied to Org’s Goals
- Video: Thinking Styles Definition
- Articles about Data Synthesis
- Articles about Demographic Assumptions
Most teams are under pressure to pull insights from research data. When it comes to research data as transcripts, the pressure becomes tenfold. Managers assume the hard work is already done now that the interviews are over. “Give me the insights already,” they ask. Often, teams are not trained nor given support in handling data. They are told to just “find the affinities.” So, they jump to that.
- Section 1 – Introducing Data Synthesis
- Section 2 – Finding Concepts
- Section 3 – Writing Summaries
- Section 4 – The Pace of Synthesis
Some of the video topics:
- How to handle the non-linear way that people communicate concepts
- Collecting bits of a concept as it is mentioned in different places of the transcript
- Untangling concepts that are braided together
- Deciding whether an implied concepts is worth keeping in the data set
- Summarizing each concept in a manner that makes it easily recalled, and easily compared across transcripts to see patterns
- (Finding these patterns is the second course of this pair)
- Recognizing that “insights” must wait until the solutions already in place are compared to the patterns that arise from the data
Course Features (for new format in bundle):
- Videos that don’t require you to look at the screen
- Exercises with answer sheets
- Downloadable hand outs
- Closed captions for each video, along with descriptive transcripts
- Accessible PDFs
- Downloadable transcripts
- Membership in Indi’s Slack workspace (no time limit)
Who is this for?
If you are new to research, this course plus the next course will give you a solid foundation for seeing how patterns arise from the data. It replaces the imperative to just “find affinities.”
If you are an experienced researcher, these two courses will add the craft of synthesis to your skill set. Synthesis allows other people’s perspectives and ideas to take precedence over your own way of making sense of what was said. Synthesis is different than analysis. You might have learned analysis in the university, not knowing there was another method.
If you manage a research team, mentoring people and helping them grow their skillsets is key to your team’s success. Getting a taste of what qualitative data synthesis produces, and how it is used, will give you clarity into what kind of time and resources your team needs for different types of studies.
If you manage a product, inclusivity and reducing harm might be one of the strategic directions you want to follow. If you follow how data synthesis works, its power will actually unlock some of your other strategic directions, such as growing the number of people you support with your solution. You may not need to take these courses, but you need to understand what is going on here, and how it is different than data analysis. Skim through the videos and pick up some clarity, and some inspiration.
Frequently Asked Questions
Q: If I have questions about the course content, will Indi answer them for me?
A: Asking a question in the Slack community will give Indi, her team, and many other Slack members a chance to see the question and respond to it.
Q: Do the recordings qualify me for Indi’s Problem Space Certification Program?
A: Not quite. You will also want to join the Live Practice series for each course. In these Live Practice meetings, you get to work on exercises together with Indi and others. This is where we discuss nuances of context and share experiences that help others prepare to conduct their own research. Live Practice meetings give you a chance to double your knowledge and demonstrate your understanding.
Other Languages
Take this course in Chinese through UXOffer:
Take this course in Spanish with Bibiana Nunes:
Take this course in Portuguese with Amyris Fernandez: