UX and Analytics
   for product managers
Who is the Product Manager?
●   Accepts the journey
●   Charts the course
●   Keeps the boat sailing smoothly
●   Checks the results
●   Go on for another journey
●   ...
What a captain must know?



      What's happening?
                 x
      Why is it happening?
What a captain must know?



       Analytics (Metrics)
                x
        User Experience
Metrics (example)


  Acquisition: Visits
  Activation: Pages per user
  Retention: New vs Returning
  Referral: Traffic source
  Revenue: $$$

(Source: Startup Metrics for pirates: http://www.slideshare.net/dmc500hats/startup-metrics-for-pirates-long-version)
This is just data
... but you need information
Analytics - Where to begin?

1.   What's important to your business now?
2.   What are you trying to achieve?
3.   KPIs!
4.   Avoid Vanity Metrics
5.   More KPIs!


... and then choose your tools for the job
Analytics - What you see



●   Completed goals
●   Negative / positive tendencies
●   Effects of changes on the product
●   Conversions
●   Funnels
●   ... and a lot more.
Analytics - What you can't see



●   User profile
●   Emotions
●   Causes of success
●   Causes of failure
●   ... and a lot more.
UX



Understanding the needs and expectations of
 your public so you can offer them the best
        solution for their problems
UX in Product Management

● Researching
  ○ Card sorting
  ○ Interviews
  ○ Focus Groups
● Prototyping
  ○ Wireframing
  ○ Low fidelity prototypes
● Analyzing
  ○ Heuristics
  ○ Expert analysis
UX in Product Management
And, the most important:

●   Test
●   Measure results
●   Adjust
●   Rinse and Repeat
UX in Product Management


      A/B testing is your best friend!

It can be cheap (Google Analytics does it!)
It can be easy (Optimizely.com)
It's always efficient!
UX in Product Management


        But don't fall into the trap!

   Plan your tests and know what you're
                measuring!


     (examples at www.abtests.com)
So, side by side

       Analytics                                       User Experience


       behavioral                                            attitudinal


       quantitative                                          qualitative


       high fidelity                                           artificial


       high volume                                          high quality


         What?                                                  Why?

             Source: http://www.slideshare.net/lrosenfeld/marrying-web-analytics-and-user-experience
"Not everything that can be counted counts
  and not everything that counts can be
                 counted"
                                   Einstein (maybe)
Thanks!

Vitor   Peçanha
Founder of TextCorner


@pecanha
pecanha@textcorner.com.br

User experience and Web Analytics for product managers

  • 1.
    UX and Analytics for product managers
  • 2.
    Who is theProduct Manager? ● Accepts the journey ● Charts the course ● Keeps the boat sailing smoothly ● Checks the results ● Go on for another journey ● ...
  • 3.
    What a captainmust know? What's happening? x Why is it happening?
  • 4.
    What a captainmust know? Analytics (Metrics) x User Experience
  • 5.
    Metrics (example) Acquisition: Visits Activation: Pages per user Retention: New vs Returning Referral: Traffic source Revenue: $$$ (Source: Startup Metrics for pirates: http://www.slideshare.net/dmc500hats/startup-metrics-for-pirates-long-version)
  • 8.
  • 9.
    ... but youneed information
  • 10.
    Analytics - Whereto begin? 1. What's important to your business now? 2. What are you trying to achieve? 3. KPIs! 4. Avoid Vanity Metrics 5. More KPIs! ... and then choose your tools for the job
  • 11.
    Analytics - Whatyou see ● Completed goals ● Negative / positive tendencies ● Effects of changes on the product ● Conversions ● Funnels ● ... and a lot more.
  • 12.
    Analytics - Whatyou can't see ● User profile ● Emotions ● Causes of success ● Causes of failure ● ... and a lot more.
  • 13.
    UX Understanding the needsand expectations of your public so you can offer them the best solution for their problems
  • 14.
    UX in ProductManagement ● Researching ○ Card sorting ○ Interviews ○ Focus Groups ● Prototyping ○ Wireframing ○ Low fidelity prototypes ● Analyzing ○ Heuristics ○ Expert analysis
  • 15.
    UX in ProductManagement And, the most important: ● Test ● Measure results ● Adjust ● Rinse and Repeat
  • 16.
    UX in ProductManagement A/B testing is your best friend! It can be cheap (Google Analytics does it!) It can be easy (Optimizely.com) It's always efficient!
  • 17.
    UX in ProductManagement But don't fall into the trap! Plan your tests and know what you're measuring! (examples at www.abtests.com)
  • 19.
    So, side byside Analytics User Experience behavioral attitudinal quantitative qualitative high fidelity artificial high volume high quality What? Why? Source: http://www.slideshare.net/lrosenfeld/marrying-web-analytics-and-user-experience
  • 20.
    "Not everything thatcan be counted counts and not everything that counts can be counted" Einstein (maybe)
  • 21.
    Thanks! Vitor Peçanha Founder of TextCorner @pecanha pecanha@textcorner.com.br