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UNPREDICTABLE
INSIGHTS
Using what you learn about customers to drive
decisions and reduce risk
Cindy Alvarez (@cindyalvarez)
Director of Customer Research, GitHub
ProductCamp Brasil – Dec 2021
TALKIN
G TO
HUMAN
S IS
RISKY
Humans are
unpredictabl
e
Our brains are full of cognitive
biases
We struggle to predict the
future
We don’t recognize familiar
problems
We constrain research to make it more
predictable (and less useful)
We love NPS and
5-star ratings
because they’re
predictable (not
useful)
What does this tell us?
What should we do
because of this?
PRODUCT PEOPLE FEEL THE GAPS
IN WHAT WE NEED TO KNOW
We have research envy
How similar are our goals?
What differences are
there between our
customers and theirs?
Every product person has the same
complaints
■ “We don’t have enough time to talk to customers”
■ ”How can we prove the value of talking to customers?”
■ ”What’s the right method to use?”
■ “But we already build what customers are asking for…”
■ “Even when we have customer insights, we ignore them…”
Desired outcomes >
Solutions
■ What do we need to know?
■ How likely are we to
challenge assumptions or
change decisions?
■ What might convince
stakeholders?
ASK WHAT
WE’D DO
DIFFERENTLY
IF WE KNEW…
What every product person should
know about their customer(s)
Current
behavior
Problems / pain
points
Motivatio
ns
How they
decide
HOW DO WE
OVERCOME
THE
COMMON
PROBLEMS?
“We don’t have enough time”
Start
Start with just
one ‘why?’
Continue
Continue
conversation
with customers
who are talking
to you
Partner
Partner with
account
managers and
sales
“HOW CAN WE PROVE THE VALUE OF TALKING TO
CUSTOMERS?”
“What’s the
right
method to
use?”
■ Surveys: when you know the questions
AND the potential answers
■ Interviews: to uncover behaviors,
assumptions, mental models
■ Sales feedback: single-customer
specific, tied to a deal
■ Usability testing: can customers
complete task (doesn’t reveal if they
want to)
■ Usage metrics: after launch AND
significant number of customers
■ A/B testing: proves a change ‘worked’,
requires high usage
“But we already build what
customers ask for, and they’re still
not happy…”
“If we already had
[feature], how would
that make your life
easier?”
Because we do not
have [feature], what
are you unable to do
today that you wish
you could do?”
“Well, [your competitor] has
[feature]…”
“You’re right – if you
were able to use
[feature] with our
product, what would
that allow you to do
differently?”
“You probably know
other people who
are using
[competitor] – what
are they able to do
better or more
easily?”
Tell me about the last time
you [used feature]…
How does [feature] fit into
your usual
habits/workflow?
“EVEN WHEN
WE HAVE
CUSTOMER
INSIGHTS, WE
IGNORE THEM"
“EVEN WHEN WE HAVE
CUSTOMER INSIGHTS, WE
IGNORE THEM"
A (new) customer insight is a
product
■ Why should I pay attention?
■ Is it packaged well?
■ How should I use it?
■ How will it make my life better?
Start with why
■ Here’s the problem we’ve seen [problem]
■ We know it’s a problem because [evidence]
■ If we don’t fix it, we risk [consequences]
■ When we fix it, we hope to get [benefit]
■ We’re going to try the experiment of [solution attempt] for [time period]
■ We’ll know we’re on the right track when we see [success metrics]
https://bit.ly/anticipate-whys
Get 1% better
each week
■ This takes practice!
■ Build skills
■ Convince others to join
you
■ Make it a part of your
routine
THANK YOU!
MUITO
OBRIGADO!
Cindy Alvarez (@cindyalvarez)
Director of Customer Research, GitHub
ProductCamp Brasil – Dec 2021

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[Product Camp 2021] Lean Customer Development

  • 1. UNPREDICTABLE INSIGHTS Using what you learn about customers to drive decisions and reduce risk Cindy Alvarez (@cindyalvarez) Director of Customer Research, GitHub ProductCamp Brasil – Dec 2021
  • 3. Humans are unpredictabl e Our brains are full of cognitive biases We struggle to predict the future We don’t recognize familiar problems
  • 4. We constrain research to make it more predictable (and less useful)
  • 5. We love NPS and 5-star ratings because they’re predictable (not useful)
  • 6. What does this tell us? What should we do because of this?
  • 7. PRODUCT PEOPLE FEEL THE GAPS IN WHAT WE NEED TO KNOW
  • 9. How similar are our goals? What differences are there between our customers and theirs?
  • 10. Every product person has the same complaints ■ “We don’t have enough time to talk to customers” ■ ”How can we prove the value of talking to customers?” ■ ”What’s the right method to use?” ■ “But we already build what customers are asking for…” ■ “Even when we have customer insights, we ignore them…”
  • 11. Desired outcomes > Solutions ■ What do we need to know? ■ How likely are we to challenge assumptions or change decisions? ■ What might convince stakeholders?
  • 13. What every product person should know about their customer(s) Current behavior Problems / pain points Motivatio ns How they decide
  • 15. “We don’t have enough time” Start Start with just one ‘why?’ Continue Continue conversation with customers who are talking to you Partner Partner with account managers and sales
  • 16. “HOW CAN WE PROVE THE VALUE OF TALKING TO CUSTOMERS?”
  • 17. “What’s the right method to use?” ■ Surveys: when you know the questions AND the potential answers ■ Interviews: to uncover behaviors, assumptions, mental models ■ Sales feedback: single-customer specific, tied to a deal ■ Usability testing: can customers complete task (doesn’t reveal if they want to) ■ Usage metrics: after launch AND significant number of customers ■ A/B testing: proves a change ‘worked’, requires high usage
  • 18. “But we already build what customers ask for, and they’re still not happy…” “If we already had [feature], how would that make your life easier?” Because we do not have [feature], what are you unable to do today that you wish you could do?”
  • 19. “Well, [your competitor] has [feature]…” “You’re right – if you were able to use [feature] with our product, what would that allow you to do differently?” “You probably know other people who are using [competitor] – what are they able to do better or more easily?”
  • 20. Tell me about the last time you [used feature]… How does [feature] fit into your usual habits/workflow?
  • 22. “EVEN WHEN WE HAVE CUSTOMER INSIGHTS, WE IGNORE THEM"
  • 23. A (new) customer insight is a product ■ Why should I pay attention? ■ Is it packaged well? ■ How should I use it? ■ How will it make my life better?
  • 24. Start with why ■ Here’s the problem we’ve seen [problem] ■ We know it’s a problem because [evidence] ■ If we don’t fix it, we risk [consequences] ■ When we fix it, we hope to get [benefit] ■ We’re going to try the experiment of [solution attempt] for [time period] ■ We’ll know we’re on the right track when we see [success metrics] https://bit.ly/anticipate-whys
  • 25. Get 1% better each week ■ This takes practice! ■ Build skills ■ Convince others to join you ■ Make it a part of your routine
  • 26. THANK YOU! MUITO OBRIGADO! Cindy Alvarez (@cindyalvarez) Director of Customer Research, GitHub ProductCamp Brasil – Dec 2021