Chronologically

1. Cognitive Walkthroughs

   Brad Dalrymple gives an overview of the cognitive walkthrough method and shares a useful test spreadsheet template.

   Steps

   1. Identify the user goal you want to examine
   2. Identify the tasks you must complete to accomplish that goal
   3. Document the experience while completing the tasks

   Cognitive walkthrough questions:

   • Will users understand how to start the task?
   • Are the controls conspicuous?
   • Will users know the control is the correct one?
   • Was there feedback to indicate you completed (or did not complete) the task?
   • Was there feedback to indicate you completed (or did not complete) the task?

2. How to Do a UX Review

   @mrjoe gives a great introduction to the expert review method in this 24 Ways article.

3. An Introduction to Modern Product Discovery Practices

   @ttorres’s product discovery keynote from Productized Conference 2016.

   Goal: learn fast

   (Output » Outcome)

   • Are we meeting stakeholder needs?
   • Can customers us it?
   • Do customers want a solution?
   • Are we solving a problem customers care about?
   • Are we droving toward a desired outcome?

   The Opportunity Solution Tree: Desired Outcome (OKR) » Opportunity (JTBD/product strategy) » Solution » Experiment

4. How to use an ERT test to unlock more constructive design conversations

   This technique helps us understand how stakeholders and users feel about the designs we create and gives us focus on what needs to change.

5. Getting your priorities right

   @chrishow rounds up some useful prioritisation techniques for making difficult decisions.

6. Five dysfunctions of ‘democratised’ research. Part 4 – Quantitative fallacies

   @leisa’s fourth post about scaling research, this addressing the risks of quantitative research.

7. What big corporates often get wrong about Service Design

   Fantastic article by Douglas M. Smith about the 5 mistakes big corps make with Service Design.

8. UX Research Incentive Calculator

   Useful tool by @ethnio for calculating research incentive costs.

9. Using behavioural economics default effect for positive impact.

   @_ted_hunt’s great example of using behavioural economics default effect for positive impact.

10. Combining quantitative and qualitative data

    Some really interesting thinking by @steph_marsh81 about qual+quant and where research findings should exist.