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Analytics to Drive Effective Product Development

Diane Bartoli
Vice President, Product Development

SSP Boston, June 1, 2011
About Me


Vice President of Product Management
Elsevier Health Sciences
Clinical Reference Group


Analytics EXPERT

NOT*

*(Just a product manager desperate for data to
 inform good product development...)
                                                 2
With seemingly endless data, is the world not your...?




                                                         3
A few of the tools at your disposal...




          WHICH TO USE???



                                         4
The trick is not capturing the data,
 it’s asking the right questions...
Case Study: Elsevier Evergreen


A new Online Medical Reference product
 in development intended for Doctors in
           the Hospital setting




                                      6
Where is the need? Understanding the user




       • Ethnographic research brings end-users to life
       • Highlights pain points
       • Understanding motivations and ambitions
What is needed and WHEN? Mapping workflow…
                                   Patient care management workflows                             Collateral workflows
                                              Diagnosis
                         1
                                                                                     5
                               2
                                                                                                   Keeping current
                                                                                         •Conferences / society meetings
                                           Create Care Plan                              •Reading current literature



     2a
                                            Treatment     2b


            Medical treatment                                  Surgical treatment

                                                                  Procedures
                                                                                    4
                                                                                                Sharing information

                                                                                         •Patient specific information
                                                                                         •Case presentation (within dept)
                                      After treatment care plan                          •Presentation to other bodies (e.g.
                                                                                         Treatment committees, drug committees
                               3                                                         etc)
                                                                                         •External presentations (Grand rounds,
                                                                                         association presentations etc).
                                   Patient Education & Compliance


                                                                                    • Collateral workflows take 24% of the
 •Patient care management workflows take over 45% of the average physician's time
                                                                                     average physician’s time

    Non-surgical    Surgical


Source: Qualitative research (76 in person respondents)
Quantifying qualitative findings....
                                                                      Key Findings

                                                            • Validation of critical information
                                                              needs for physicians: trustworthy,
                                                              current content
                                                                         Daily activity
                                                                           Weekly activity

                                                            • Validation of critical pain points:
                                                                          Weekly/monthly
                                                                         Monthly activity
                                                              lack of comprehensive access to
                                                                         Annual activity
                                                              information, clinical search
Total time spent (hrs)




                                                              relevance not optimal today

                                                            • Quantification of physician
                                                              workflow: Understanding what
                                                              they do, how often they do it, how
                                                              important those activities are,
                                                              when they need information and
                                                              what information they need

                                                                   • Business justification: Sizing
                                                                     market opportunity and potential
                                                                     growth
                         % of time medical reference products are requested


                                                                                                        9
                                                                                                            9
Zeroing in on the goal…
         The Physician’s       No current offering delivers on all three components doctors
            Dilemma            need in a medical information product


                         Comprehensive                        Trusted
• Regardless of                                                                  • Despite generally preferring E
  where they start                                                                 over P, physicians find PRINT
                                                    Online
  their online search,                                                             resources more trustworthy
  40-53% of doctors                                 Books                          (75% vs 59%) than current E
  use more than one                                                                offerings
  source                                                  Online
                            Aggregators                   Journals


                                           Elsevier
                                                         Clinical
                                          Evergreen
                                                         Reviews




                                                 Wikis
                                                                Speed to Answer
                                                                • Residents report significant
                                                                  use of Google (64%),
                                                                  Wikipedia (27%) and WebMD
                                                                  (36%) given need for fast and
                                                                  easy reference
Building products with analytics at the core: Alpha,
Beta....Zeta                            Volunteered
                                                                       comments :
                                                                     Capturing the voice
                                                                         of the user
      Understanding
     Motivation: Why
     are you here? Are
       you satisfied?




         Elsevier Evergreen




       Quantifying results:
          Quantitative
        Survey at close of
          Alpha Period
                              Measuring the Right things:
                              Composite metrics intended to get to
                              “workflow”


11
Lots of Data.... What to do with it?


       System Data:
       • What are they looking for? Search logs help tune
         search relevance and recall
       Usage Data:
       • What was used? What was not used?
       • Are users coming back?
       • Are we inspiring loyalty and engaging our users?
       Satisfaction:
       • Why are they coming to our site?
       • Did they really find what they were looking for?
       • Touchy-feely: visual design? Cultural differences?
       Quantifying results:
       • Prioritization of development
       • Directing go-to-market planning
       • Return on investment?
Some lessons


• Setting appropriate expectations
• Imperfect data yields imperfect results
• Apples, oranges, and some pears too: matching mis-
  matched data
• The Holy Grail: marrying customer demographics to usage
  and conversion




                                                            13
More questions?


Diane Bartoli,
VP, Product Development
D.bartoli@elsevier.com
215-239-3602




                          14

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369 diane bartoli

  • 1. Analytics to Drive Effective Product Development Diane Bartoli Vice President, Product Development SSP Boston, June 1, 2011
  • 2. About Me Vice President of Product Management Elsevier Health Sciences Clinical Reference Group Analytics EXPERT NOT* *(Just a product manager desperate for data to inform good product development...) 2
  • 3. With seemingly endless data, is the world not your...? 3
  • 4. A few of the tools at your disposal... WHICH TO USE??? 4
  • 5. The trick is not capturing the data, it’s asking the right questions...
  • 6. Case Study: Elsevier Evergreen A new Online Medical Reference product in development intended for Doctors in the Hospital setting 6
  • 7. Where is the need? Understanding the user • Ethnographic research brings end-users to life • Highlights pain points • Understanding motivations and ambitions
  • 8. What is needed and WHEN? Mapping workflow… Patient care management workflows Collateral workflows Diagnosis 1 5 2 Keeping current •Conferences / society meetings Create Care Plan •Reading current literature 2a Treatment 2b Medical treatment Surgical treatment Procedures 4 Sharing information •Patient specific information •Case presentation (within dept) After treatment care plan •Presentation to other bodies (e.g. Treatment committees, drug committees 3 etc) •External presentations (Grand rounds, association presentations etc). Patient Education & Compliance • Collateral workflows take 24% of the •Patient care management workflows take over 45% of the average physician's time average physician’s time Non-surgical Surgical Source: Qualitative research (76 in person respondents)
  • 9. Quantifying qualitative findings.... Key Findings • Validation of critical information needs for physicians: trustworthy, current content Daily activity Weekly activity • Validation of critical pain points: Weekly/monthly Monthly activity lack of comprehensive access to Annual activity information, clinical search Total time spent (hrs) relevance not optimal today • Quantification of physician workflow: Understanding what they do, how often they do it, how important those activities are, when they need information and what information they need • Business justification: Sizing market opportunity and potential growth % of time medical reference products are requested 9 9
  • 10. Zeroing in on the goal… The Physician’s No current offering delivers on all three components doctors Dilemma need in a medical information product Comprehensive Trusted • Regardless of • Despite generally preferring E where they start over P, physicians find PRINT Online their online search, resources more trustworthy 40-53% of doctors Books (75% vs 59%) than current E use more than one offerings source Online Aggregators Journals Elsevier Clinical Evergreen Reviews Wikis Speed to Answer • Residents report significant use of Google (64%), Wikipedia (27%) and WebMD (36%) given need for fast and easy reference
  • 11. Building products with analytics at the core: Alpha, Beta....Zeta Volunteered comments : Capturing the voice of the user Understanding Motivation: Why are you here? Are you satisfied? Elsevier Evergreen Quantifying results: Quantitative Survey at close of Alpha Period Measuring the Right things: Composite metrics intended to get to “workflow” 11
  • 12. Lots of Data.... What to do with it? System Data: • What are they looking for? Search logs help tune search relevance and recall Usage Data: • What was used? What was not used? • Are users coming back? • Are we inspiring loyalty and engaging our users? Satisfaction: • Why are they coming to our site? • Did they really find what they were looking for? • Touchy-feely: visual design? Cultural differences? Quantifying results: • Prioritization of development • Directing go-to-market planning • Return on investment?
  • 13. Some lessons • Setting appropriate expectations • Imperfect data yields imperfect results • Apples, oranges, and some pears too: matching mis- matched data • The Holy Grail: marrying customer demographics to usage and conversion 13
  • 14. More questions? Diane Bartoli, VP, Product Development D.bartoli@elsevier.com 215-239-3602 14

Notes de l'éditeur

  1. What is Smart Content ?– put plainly Smart Content is semantic search… Smart Content is created when content is mapped and tagged against a standardized taxonomy or ontology. This tagging adds layers of additional meaning (in the form of metadata) to our content– telling computers and humans alike what the content is about and how it relates to other content. I will elaborate more on this shortly… So if we imagine that printed content falls into this unstructured area – solely meant for human consumption. And Elsevier’s (and our competitors’) current online offerings fall into this structured content area – so a modicum of organization (usually with content expressed in SGML or XML)…Smart Content falls up here – with a rich layer of semantic meaning and relationships which drive the ability to create high-value user experiences.
  2. Thanks Helen. As