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Effort vs. risk mapping:
Creating foolproof research plans
Kea Zhang, Product/UX @Teston
Taking the hassle out of user testing
Interviews Fieldobservations
Moderated
usability testing
Unmoderatedusability testing
Diary studies
Surveys
A/B testing
Clickstream
analysis
Interviews Fieldobservations
Moderated
usability testing
Unmoderatedusability testing
Diary studies
Surveys
A/B testing
Clickstream
analysis
How the **** do I research this?!
Sorry, this isn’t a cheat sheet.
...but effort vs. risk mapping can help
What we’ll talk about today
● What is effort?
● What is risk?
● What is effort vs. risk mapping?
● Using this to plan user research
What is effort?
The cost of building something.
This could be…
● Money
● Time
● Resources
What we’ll talk about today
● What is effort?
● What is risk?
● What is effort vs. risk mapping?
● Using this to plan user research
What is risk?
1. Level of uncertainty
2. Impact on the business
“There are things we know that we know.
There are known unknowns—that is to say, there
are things that we now know we don’t know.
But there are also unknown unknowns—there are
things we do not know we don’t know.”
Donald Rumsfeld, former US secretary of defense
Level of uncertainty
● What and how much do you know?
○ What are the knowns?
○ Known unknowns?
■ What do you need to know?
○ Are there unknown unknowns?
Level of uncertainty
● What and how much do you know?
○ What are the knowns?
○ Known unknowns?
■ What do you need to know?
○ Are there unknown unknowns?
● How new/innovative is it?
○ Are there existing designs and patterns to draw on?
○ Are you literally inventing the wheel?
Established design patterns
Established design patterns, in new ways
No patterns, unexplored territory
Level of uncertainty
● What and how much do you know?
○ What are the knowns?
○ Known unknowns?
○ Are there unknown unknowns?
● How new/innovative is it?
○ Are there existing designs and patterns to draw on?
○ Are you literally inventing the wheel?
The more you know, and the more you can draw on existing patterns,
the less uncertainty!
What is risk?
1. Level of uncertainty
2. Impact on the business
Impact on the business
What are the potential costs if this goes wrong?
What can you gain from doing this right?
For example…
● Money
● People
● Time
● Brand/company reputation
What assumptions are you making?
(Some assumptions are more costly than others…)
Some common assumptions...
● This product/feature has a competitive advantage
● Customers want to use/pay for this feature
● Users understand what this feature is and how to use it
● This feature will fit into our users habits, preferences and environments
● You have full organisational support for building this
● You’re solving the biggest/most important problem for your users
Checking your assumptions
What are the potential costs if you realise in 6 months:
● You don’t have a competitive advantage for this feature
● These features don’t matter to your customers
● Your users don’t understand what you’re offering
● You were wrong about users’ habits/preferences and environments
● You don’t have internal support for building this
● You’re solving the wrong problem
What is risk?
1. Level of uncertainty
2. Impact on the business
High level of uncertainty + high business impact = Greater risk
What we’ll talk about today
● What is effort?
● What is risk?
● What is effort vs. risk mapping?
● Using this to plan user research
What is effort vs. risk mapping?
What is effort vs. risk mapping?
Effort
Idea
Risk (uncertainty and impact on business)
What is effort vs. risk mapping?
Effort
Idea
Idea
Idea
Idea
Idea
Idea
Risk (uncertainty and impact on business)
What is effort vs. risk mapping?
Effort
Idea
Idea
Idea
Idea
Idea
Idea
Risk (uncertainty and impact on business)
High effort
Low risk
Low effort
High risk
High effort
High risk
Low effort
Low risk
What is effort vs. risk mapping?
Effort
Risk (uncertainty and impact on business)
What we’ll talk about today
● What is effort?
● What is risk?
● What is effort vs. risk mapping?
● Using this to plan user research
Low effort, low risk
Research before designing
● Desk research
During concepting/design/prototyping
● Usability testing
After shipping
● Clickstream analysis
● Monitor data/key metrics/conversions
Low effort
Low risk
High effort, high risk
Research before designing
● Field observations
● Interviews
● Surveys
During concepting/design/prototyping
● Usability testing (especially moderated)
○ Concept testing
○ Low-fidelity prototypes
Don’t think about shipping - continue until the project is low risk!
High effort
High risk
“Research should be designed to
address a problem — either to solve it
or to get closer to a solution.”
Emma Boulton
High risk → Low risk
High effort, low risk
Research before designing
● Desk research
During concepting/design/prototyping
● Usability testing
○ Ideally test multiple prototypes/designs
○ Test low-fidelity and high-fidelity designs
After shipping
● Clickstream analysis
● Monitor data/key metrics/conversions
High effort
Low risk
Low effort, high risk
Research before designing
● Interviews
● Surveys
During concepting/design/prototyping
● Usability testing
○ Focus especially on low-fidelity testing
After shipping
● A/B testing
● Clickstream analysis
● Monitor data/key metrics/conversions
Low effort
High risk
High effort
Low risk
Low effort
High risk
High effort
High risk
Low effort
Low risk
What is effort vs. risk mapping?
Effort
Risk (uncertainty and impact on business)
...OK, I’ll offer you some general rules.
As a general rule
High risk?
● More research iterations
● Upfront research, before even starting design
● Focus on understanding…
○ The users - their habits, values, preferences
○ The problems
○ This means qualitative research
As you learn more, re-assess risk and adjust planning!
Low effort
High risk
High effort
High risk
As a general rule
Low effort, low risk?
● Less research
● Desk research often enough to start design
● Focus on evaluating/validating designs and tracking metrics after
release
○ This means quantitative research
Low effort
Low risk
Use this to structure conversations
around research planning!
Ask yourselves...
● How much effort will X take to build?
● How risky is it?
○ How much do we know vs. not know?
○ Are there existing UX patterns to draw on or not?
○ What assumptions/hypotheses do we have about X?
○ What is the business cost if we are wrong about our
assumptions/hypotheses?
This will help you align on where you are and what’s at stake before
deciding on methods.
Thanks for listening!
Kea Zhang, Product/UX @Teston
kea@teston.io

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Create foolproof research plans with risk vs. effort mapping

  • 1. Effort vs. risk mapping: Creating foolproof research plans Kea Zhang, Product/UX @Teston
  • 2.
  • 3. Taking the hassle out of user testing
  • 4. Interviews Fieldobservations Moderated usability testing Unmoderatedusability testing Diary studies Surveys A/B testing Clickstream analysis
  • 5. Interviews Fieldobservations Moderated usability testing Unmoderatedusability testing Diary studies Surveys A/B testing Clickstream analysis
  • 6. How the **** do I research this?!
  • 7. Sorry, this isn’t a cheat sheet.
  • 8. ...but effort vs. risk mapping can help
  • 9. What we’ll talk about today ● What is effort? ● What is risk? ● What is effort vs. risk mapping? ● Using this to plan user research
  • 10. What is effort? The cost of building something. This could be… ● Money ● Time ● Resources
  • 11. What we’ll talk about today ● What is effort? ● What is risk? ● What is effort vs. risk mapping? ● Using this to plan user research
  • 12. What is risk? 1. Level of uncertainty 2. Impact on the business
  • 13. “There are things we know that we know. There are known unknowns—that is to say, there are things that we now know we don’t know. But there are also unknown unknowns—there are things we do not know we don’t know.” Donald Rumsfeld, former US secretary of defense
  • 14. Level of uncertainty ● What and how much do you know? ○ What are the knowns? ○ Known unknowns? ■ What do you need to know? ○ Are there unknown unknowns?
  • 15. Level of uncertainty ● What and how much do you know? ○ What are the knowns? ○ Known unknowns? ■ What do you need to know? ○ Are there unknown unknowns? ● How new/innovative is it? ○ Are there existing designs and patterns to draw on? ○ Are you literally inventing the wheel?
  • 19. Level of uncertainty ● What and how much do you know? ○ What are the knowns? ○ Known unknowns? ○ Are there unknown unknowns? ● How new/innovative is it? ○ Are there existing designs and patterns to draw on? ○ Are you literally inventing the wheel? The more you know, and the more you can draw on existing patterns, the less uncertainty!
  • 20. What is risk? 1. Level of uncertainty 2. Impact on the business
  • 21. Impact on the business What are the potential costs if this goes wrong? What can you gain from doing this right? For example… ● Money ● People ● Time ● Brand/company reputation
  • 22. What assumptions are you making? (Some assumptions are more costly than others…)
  • 23. Some common assumptions... ● This product/feature has a competitive advantage ● Customers want to use/pay for this feature ● Users understand what this feature is and how to use it ● This feature will fit into our users habits, preferences and environments ● You have full organisational support for building this ● You’re solving the biggest/most important problem for your users
  • 24. Checking your assumptions What are the potential costs if you realise in 6 months: ● You don’t have a competitive advantage for this feature ● These features don’t matter to your customers ● Your users don’t understand what you’re offering ● You were wrong about users’ habits/preferences and environments ● You don’t have internal support for building this ● You’re solving the wrong problem
  • 25. What is risk? 1. Level of uncertainty 2. Impact on the business High level of uncertainty + high business impact = Greater risk
  • 26. What we’ll talk about today ● What is effort? ● What is risk? ● What is effort vs. risk mapping? ● Using this to plan user research
  • 27. What is effort vs. risk mapping?
  • 28. What is effort vs. risk mapping? Effort Idea Risk (uncertainty and impact on business)
  • 29. What is effort vs. risk mapping? Effort Idea Idea Idea Idea Idea Idea Risk (uncertainty and impact on business)
  • 30. What is effort vs. risk mapping? Effort Idea Idea Idea Idea Idea Idea Risk (uncertainty and impact on business)
  • 31. High effort Low risk Low effort High risk High effort High risk Low effort Low risk What is effort vs. risk mapping? Effort Risk (uncertainty and impact on business)
  • 32. What we’ll talk about today ● What is effort? ● What is risk? ● What is effort vs. risk mapping? ● Using this to plan user research
  • 33. Low effort, low risk Research before designing ● Desk research During concepting/design/prototyping ● Usability testing After shipping ● Clickstream analysis ● Monitor data/key metrics/conversions Low effort Low risk
  • 34. High effort, high risk Research before designing ● Field observations ● Interviews ● Surveys During concepting/design/prototyping ● Usability testing (especially moderated) ○ Concept testing ○ Low-fidelity prototypes Don’t think about shipping - continue until the project is low risk! High effort High risk
  • 35. “Research should be designed to address a problem — either to solve it or to get closer to a solution.” Emma Boulton
  • 36. High risk → Low risk
  • 37. High effort, low risk Research before designing ● Desk research During concepting/design/prototyping ● Usability testing ○ Ideally test multiple prototypes/designs ○ Test low-fidelity and high-fidelity designs After shipping ● Clickstream analysis ● Monitor data/key metrics/conversions High effort Low risk
  • 38. Low effort, high risk Research before designing ● Interviews ● Surveys During concepting/design/prototyping ● Usability testing ○ Focus especially on low-fidelity testing After shipping ● A/B testing ● Clickstream analysis ● Monitor data/key metrics/conversions Low effort High risk
  • 39. High effort Low risk Low effort High risk High effort High risk Low effort Low risk What is effort vs. risk mapping? Effort Risk (uncertainty and impact on business)
  • 40. ...OK, I’ll offer you some general rules.
  • 41. As a general rule High risk? ● More research iterations ● Upfront research, before even starting design ● Focus on understanding… ○ The users - their habits, values, preferences ○ The problems ○ This means qualitative research As you learn more, re-assess risk and adjust planning! Low effort High risk High effort High risk
  • 42. As a general rule Low effort, low risk? ● Less research ● Desk research often enough to start design ● Focus on evaluating/validating designs and tracking metrics after release ○ This means quantitative research Low effort Low risk
  • 43. Use this to structure conversations around research planning!
  • 44. Ask yourselves... ● How much effort will X take to build? ● How risky is it? ○ How much do we know vs. not know? ○ Are there existing UX patterns to draw on or not? ○ What assumptions/hypotheses do we have about X? ○ What is the business cost if we are wrong about our assumptions/hypotheses? This will help you align on where you are and what’s at stake before deciding on methods.
  • 45. Thanks for listening! Kea Zhang, Product/UX @Teston kea@teston.io