Experiment #2 – Exploring New Data Insights Formats


Help Us Shape How We Teach Data Insights

Your feedback will help us understand whether combining question types makes learning DI clearer, simpler, and more effective.

Thank you for being part of this!

This is a lighter, self-paced experiment than our first one: three short (25-30 min.) videos exploring different ways to teach Data Insights. We’d love to hear your thoughts in the form at the bottom of this page.

Several DI question types share the same underlying skills: reading tables, interpreting graphs, and pulling information from multiple sources. So, we’re testing whether some of these topics can be taught together, rather than treating them as completely separate skills.

You’ll see three approaches:

As you watch, we’d love your thoughts: Does the combined approach feel natural? Helpful? Confusing? Could you imagine learning the full DI syllabus this way?

There’s no right answer. We’re simply trying to understand how these blended formats land for real learners.

WATCH THE VIDEOS

Before You Start

Feel free to watch these in any order. You can take notes or jump straight to the feedback form — whatever helps you capture your impressions most clearly.

VIDEO 1: Multi-Source Reasoning (MSR Only)

A straightforward MSR lesson, focusing only on multi-tab information and cross-referencing details. This is our “control” video — the baseline for comparison.

Links to the MSR scenarios covered in this video:

  • Scenario 1 – Link
  • Scenario 2 – Link

VIDEO 2: Table Analysis + Multi-Source Reasoning

Here we blend two formats that rely heavily on filtering, comparing, and organizing tabular data. We want to know if teaching these together feels smooth and intuitive, or if it blurs important differences.

Links to the questions covered in this video:

  • Question 1 – Link
  • Question 2 – Link
  • MSR Question – Link

VIDEO 3: Graphical Interpretation + Multi-Source Reasoning

This video pairs graphical interpretation with multi-source reasoning. Since both require extracting meaning from visuals, we want to see whether this combination enhances understanding or feels like too much at once.

Links to the questions covered in this video:

  • Question 1 – Link
  • Question 2 – Link
  • Question 3 – Link
  • MSR Question – Link
  • Question 5 – Link

FREQUENTLY ASKED QUESTIONS

Ideally yes, but if you only have time for one or two, that’s still helpful. Just note which ones you watched in your feedback.

There’s no pressure to finish every question, but please try a few from each video so you get a real feel for the structure.

No strict deadline. Sooner is always more useful for us, but take your time.

Almost certainly. Data Insights is one of the biggest areas we’re exploring right now.

WE’D LOVE YOUR FEEDBACK

Once you’ve watched the videos (whether one or all three), please take a minute to share your thoughts in the form below. We’re especially interested in:

  • How natural or awkward the combined formats felt
  • Whether the structure helped you understand the skills more clearly
  • Whether an entire DI syllabus built this way would help your prep
  • Anything confusing, unnecessary, or unexpectedly useful
  • Any suggestions for how we might refine or rethink this approach

Every response helps — thank you again for taking the time to experiment with us!

Name
Which videos did you watch?
How natural did the combined lesson formats feel to you?
Very confusing Very natural
Did the combined lessons make the skills easier or harder to understand?
Much harder Much easier
How helpful did you find the blended approach overall?
Not helpful at all Very helpful
If we built a full Data Insights syllabus using this blended format, would it work for you?
No, definitely not Yes, definitely
If we have a couple of follow-up questions about your feedback, would it be alright for us to get in touch and set up a short Zoom call?