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3 Important Things
    About Metrics
      founders should know




              Jan König - @einkoenig
0
0
The AAA’s of Metrics




     Auditable                Accessible


                 Actionable
0
What Makes a Good Metric?

           A rate or a ratio rather than an absolute or cumulative value. New
           users per day is better than total users.
           Comparative to other time periods, sites, or segments. Increased
           conversion from last week is better than “2% conversion.”
           No more complicated than a golf handicap. Otherwise people won’t
           remember and discuss it.
           For “accounting” metrics you use to report the business to the
           board, investors, and the media, something which, when entered into
           your spreadsheet, makes your predictions more accurate.
           For “experimental” metrics you use to optimize the
           product, pricing, or market, choose something which, based on the
           answer, will significantly change your behaviour. Better yet, agree on
           what that change will be before you collect the data.




                                      Source: http://leananalyticsbook.com/one-metric-that-matters/
0
1




“ A metric tells a complete story using data,
  measures, information, and other metrics
  to answer a root question.
                                                 ”
                                       Martin Klubeck
1
Metrics

                         Data




                    Measures




          Information            Information



                        Metric


                  Root Question
                                               Source: Klubeck, “Metrics”, page 13
1
Data, Measures, and Information

                                 Data
    Data                                                                                  Data
            Data                                                                              Data
   Data                                                                                Data
     Measures                             Information
                                                                                        Measures
                            Data                                          Data


Examples

   Page Hits on Dec 23
   2500 (Data) Hits (Measures)

   Page Hits per Day Last Week
   2500 (Data) Hits (Measures)
   2600 (Data) Hits (Measures)
   …                               2520 (Data) Hits (Measures) per Day (Information)
   …
   2350 (Data) Hits (Measures)
1
Root Question

  “Answers are only useful when you know the question”
                                                   – Martin Klubeck




    A wrong question means:
                  wrong data, measures, and information
                  wrong metric interpretation
                  wrong action
                  wrong product change
1
Finding the Right Question: 5 Whys

Ask Why (What, How, What if?)
until you can no longer answer with a deeper need.
Example

“I want to measure retention with a cohort analysis”

“Are the users coming back to use my product?”


“Is my product at the moment solving their problems well enough to be important to them?”


“What could make them come back more often?”                      (possible) root question
                                                                   “What do I have to change to make a better
“What product changes do address the                               and more desired product for my users?”
users’ needs and lead to an increasing usage?”
2




“ Metrics are a tool, an indicator –
  they are not the answer and may have
  multiple interpretations.
                                                 ”
                                       Martin Klubeck
2
Metrics as Indicators

                        “Data is just one perspective”
                         Source: http://blog.intercom.io/the-problem-with-data-driven-decisions/




                        Never base decisions on core numbers!

                        Use metrics as indicators to find out where
                        something is wrong.




                        Then do further investigation.
                        In-depth Analysis. Customer Development.
3




“ Triangulation is a principle foundation
  for a strong metric program.
                                             ”
                                   Martin Klubeck
3
Triangulation

 Example: Triangulation of Effectiveness Metrics


                                    Delivery


                                                            using multiple
                                                            measures, collection
                                                            methods, and
Product / Service Health            Usage                   sources for a
Customer View
                                                            comprehensive
                                                            picture



                                    Customer Satisfaction
3
Triangulation in a Restaurant

Restaurant’s Effectiveness Metrics   with Triangulation


Delivery    Usage    Customer Satisfaction       Possible Interpretation

                                                 OK, something is wrong here. You know that.


                                                 “The only game in town.” Or a product
                                                 customers need but don’t want.

                                                 Great food and a loyal, but very small
                                                 customer base. Maybe a bad location.

                                                 Crazy! Time to look at other metrics to
                                                 improve your business.




                                                                        Source: Klubeck, “Metrics”, page 149f
3
Triangulation in a Restaurant

Restaurant’s Effectiveness Metrics   without Triangulation


Delivery    Usage    Customer Satisfaction      Possible Interpretation

                                                 bad
      focus on
                                                 bad



                                                 good



                                                 good
?




So, how do I use these principles?
What’s next?
?
Martin Klubeck’s Answer Key

                     Product / Service Health
                     Customer View
      Return vs.
      Investment

                     Process Health
                     Business View

                                                Company
                                                Maturity

                     Organizational Health
                     Worker View
      State of the
      Organization

                     Future Health
                     Leadership View
?
Martin Klubeck’s Answer Key

                     Product / Service Health
                     Customer View
      Return vs.
      Investment

                     Process Health
                     Business View




                     Organizational Health
                     Worker View
      State of the
      Organization

                     Future Health
                     Leadership View
?
Focus on Product Health


                            Delivery




 Product / Service Health   Usage
 Customer View




                            Customer Satisfaction
?
Focus on Product Health


                            Delivery



                                          Customer Journey

 Product / Service Health   Usage
 Customer View
                                          Activation, Retention, Revenue




                            Customer Satisfaction
Feedback?

Hey, I’m Jan!

I am a German student and I’m currently writing
my bachelor’s thesis about metrics for startups.

I would love to get some feedback about this approach
(which is the “high-level part” of my thesis).

I will upload some other presentations about metrics
design in startups within the next weeks.


Glad to hear from you!
Jan

Twitter: @einkoenig
Mail: me@jan-koenig.com
Photo Credits

Slide 3
Jan Krömer, http://www.flickr.com/photos/81336062@N00/285835148
ZionNPS, http://www.flickr.com/photos/54168808@N03/5015792234
comedy_nose, http://www.flickr.com/photos/23408922@N07/4873283906

Slide 6
Neta Bartal, http://www.flickr.com/photos/53742192@N05/6646556769/

Slide 11
Furryscaly, http://www.flickr.com/photos/98528214@N00/312210315


Slide 13
loop_oh, http://www.flickr.com/photos/80384851@N00/7986197617

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3 Important Things About Metrics Founders Should Know

  • 1. 3 Important Things About Metrics founders should know Jan König - @einkoenig
  • 2. 0
  • 3. 0 The AAA’s of Metrics Auditable Accessible Actionable
  • 4. 0 What Makes a Good Metric? A rate or a ratio rather than an absolute or cumulative value. New users per day is better than total users. Comparative to other time periods, sites, or segments. Increased conversion from last week is better than “2% conversion.” No more complicated than a golf handicap. Otherwise people won’t remember and discuss it. For “accounting” metrics you use to report the business to the board, investors, and the media, something which, when entered into your spreadsheet, makes your predictions more accurate. For “experimental” metrics you use to optimize the product, pricing, or market, choose something which, based on the answer, will significantly change your behaviour. Better yet, agree on what that change will be before you collect the data. Source: http://leananalyticsbook.com/one-metric-that-matters/
  • 5. 0
  • 6. 1 “ A metric tells a complete story using data, measures, information, and other metrics to answer a root question. ” Martin Klubeck
  • 7. 1 Metrics Data Measures Information Information Metric Root Question Source: Klubeck, “Metrics”, page 13
  • 8. 1 Data, Measures, and Information Data Data Data Data Data Data Data Measures Information Measures Data Data Examples Page Hits on Dec 23 2500 (Data) Hits (Measures) Page Hits per Day Last Week 2500 (Data) Hits (Measures) 2600 (Data) Hits (Measures) … 2520 (Data) Hits (Measures) per Day (Information) … 2350 (Data) Hits (Measures)
  • 9. 1 Root Question “Answers are only useful when you know the question” – Martin Klubeck A wrong question means: wrong data, measures, and information wrong metric interpretation wrong action wrong product change
  • 10. 1 Finding the Right Question: 5 Whys Ask Why (What, How, What if?) until you can no longer answer with a deeper need. Example “I want to measure retention with a cohort analysis” “Are the users coming back to use my product?” “Is my product at the moment solving their problems well enough to be important to them?” “What could make them come back more often?” (possible) root question “What do I have to change to make a better “What product changes do address the and more desired product for my users?” users’ needs and lead to an increasing usage?”
  • 11. 2 “ Metrics are a tool, an indicator – they are not the answer and may have multiple interpretations. ” Martin Klubeck
  • 12. 2 Metrics as Indicators “Data is just one perspective” Source: http://blog.intercom.io/the-problem-with-data-driven-decisions/ Never base decisions on core numbers! Use metrics as indicators to find out where something is wrong. Then do further investigation. In-depth Analysis. Customer Development.
  • 13. 3 “ Triangulation is a principle foundation for a strong metric program. ” Martin Klubeck
  • 14. 3 Triangulation Example: Triangulation of Effectiveness Metrics Delivery using multiple measures, collection methods, and Product / Service Health Usage sources for a Customer View comprehensive picture Customer Satisfaction
  • 15. 3 Triangulation in a Restaurant Restaurant’s Effectiveness Metrics with Triangulation Delivery Usage Customer Satisfaction Possible Interpretation OK, something is wrong here. You know that. “The only game in town.” Or a product customers need but don’t want. Great food and a loyal, but very small customer base. Maybe a bad location. Crazy! Time to look at other metrics to improve your business. Source: Klubeck, “Metrics”, page 149f
  • 16. 3 Triangulation in a Restaurant Restaurant’s Effectiveness Metrics without Triangulation Delivery Usage Customer Satisfaction Possible Interpretation bad focus on bad good good
  • 17. ? So, how do I use these principles? What’s next?
  • 18. ? Martin Klubeck’s Answer Key Product / Service Health Customer View Return vs. Investment Process Health Business View Company Maturity Organizational Health Worker View State of the Organization Future Health Leadership View
  • 19. ? Martin Klubeck’s Answer Key Product / Service Health Customer View Return vs. Investment Process Health Business View Organizational Health Worker View State of the Organization Future Health Leadership View
  • 20. ? Focus on Product Health Delivery Product / Service Health Usage Customer View Customer Satisfaction
  • 21. ? Focus on Product Health Delivery Customer Journey Product / Service Health Usage Customer View Activation, Retention, Revenue Customer Satisfaction
  • 22. Feedback? Hey, I’m Jan! I am a German student and I’m currently writing my bachelor’s thesis about metrics for startups. I would love to get some feedback about this approach (which is the “high-level part” of my thesis). I will upload some other presentations about metrics design in startups within the next weeks. Glad to hear from you! Jan Twitter: @einkoenig Mail: me@jan-koenig.com
  • 23. Photo Credits Slide 3 Jan Krömer, http://www.flickr.com/photos/81336062@N00/285835148 ZionNPS, http://www.flickr.com/photos/54168808@N03/5015792234 comedy_nose, http://www.flickr.com/photos/23408922@N07/4873283906 Slide 6 Neta Bartal, http://www.flickr.com/photos/53742192@N05/6646556769/ Slide 11 Furryscaly, http://www.flickr.com/photos/98528214@N00/312210315 Slide 13 loop_oh, http://www.flickr.com/photos/80384851@N00/7986197617