The world is changing every single minute. The amount of available data is expanding faster than ever. This talk will focus on how to use the most important data, the correct way. Main takeaways of the presentation: - Some guiding principles to consider when jumping into the data-driven world - How to start measuring what matters to discover problems & opportunities, regardless of A/B testing or other product iteration methods - How to work with little to no-data, messy data or just huge data sets to evolve your products

1. How to Measure Important Data by fmr
Booking.com Product Owner
www.productschool.com

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8. Elena Sanchez
TONIGHT’S SPEAKER

9. By Elena Sanchez
Credits: photo by Jose Leitao - image usage authorised for this presentation only.

10. Feedback is a
https://bit.ly/ t a l k t o e l e n a

11. Hi!

12. My product experience
Transport Travel Publishing

13. Credits: photo by Jose Leitao - image usage authorised for this presentation only.
Some principlesSome principles

14. (about the reality of the product, people, user, project, etc.)

15. Data on its own is

16. Data on its own is
M E A N I N G L E S S

17. Data on its own is
M E A N I N G L E S S
M E A N I N G L E S S

18. Data on its own is
M E A N I N G L E S S
M E A N I N G L E S S
M E A N I N G L E S S

20. [incredibly powerful]

22. [incredibly powerful]Data is a

25. Credits: photo by Jose Leitao - image usage authorised for this presentation only.

26. Credits: photo by Jose Leitao - image usage authorised for this presentation only.
How is this
data being
gathered?

31. Qualitative Quantitative

32. Credits: photo by Jose Leitao - image usage authorised for this presentation only.
Measuring what
matters
Measuring what
matters

34. What is the end goal of
this feature?
(what a successful
experience looks like?)

35. How I’d translate this
behaviour/situation as
data points?

36. What generates value?

37. I’d be able to prioritise/change/invest on X if I knew Y

38. I’d be able to prioritise/change/invest on X if I knew Y

40. You want your data to be in

41. absolute
numbers
%
percentages

42. £1m/monthabsolute number
I’m rich, y’all.

43. 90% spent on
your rentthat figure in context
Ugh, yes.

44. + 1 new user
sign up
Oh, that’s nice.

45. + 1 new user
sign up
OMG! Spin those
instances off!
#willthisscale
per millisecond!

46. You want your data to be in
...always!

49. Measure the
of those actions

51. Credits: photo by Jose Leitao - image usage authorised for this presentation only.
Identifying problems
and opportunities
Identifying problems
and opportunities

53. Qual:
“bad experience”
Quant:
“seems good”

54. Qual:
“bad experience”
Quant:
“seems good”
Bad experience
for whom?
seems good
for what?

55. p4$$w0rDs

56. Credits: photo by Jose Leitao - image usage authorised for this presentation only.

57. Little to no data.
Goal: to get a signal and find
ways to hear it better.

58. Messy data.
Goal: to standardise tracking and consolidate
a small set of solid success metrics

59. Huge amount of data.
Goal: to have a clear set of 5 top metrics
to look at and iterate

60. [incredibly powerful]Data is a

61. (about the reality of the product, people, user, project, etc.)

62. THANKS!

63. Feedback is a
https://bit.ly/ t a l k t o e l e n a

64. Questions?

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