DATA DRIVEN CX; DE NPS VOORBIJ - Underlined presentation by Theo van der Steen and Max Werkhoven

 
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DATA DRIVEN CX; DE NPS VOORBIJ - Underlined presentation by Theo van der Steen and Max Werkhoven
DATA DRIVEN CX;
    DE NPS VOORBIJ
    Underlined presentation by Theo van der Steen and Max Werkhoven

1      11/2/19       MIE 2019
DATA DRIVEN CX; DE NPS VOORBIJ - Underlined presentation by Theo van der Steen and Max Werkhoven
ABOUT UNDERLINED
                   We help organizations in their data driven customer
                       experience approach, for that we deliver:
                   • Underlined hub for CX Analytics
                   • Data Driven CX consultancy
                   • Ready to go methods and tools
                   • Education in data driven CX
                   Our team of CX Analytics Consultants and Data Scientists help
                   to connect your journey’s to data and provide insights and
                   interactions that enable you to connect and accelerate with
                   your customers, to become a 9+ company!
DATA DRIVEN CX; DE NPS VOORBIJ - Underlined presentation by Theo van der Steen and Max Werkhoven
DATA IS YOUR POT OF GOLD!

3   11/2/19
DATA DRIVEN CX; DE NPS VOORBIJ - Underlined presentation by Theo van der Steen and Max Werkhoven
TRENDS | DATA-DRIVEN IN A CHANGED WORLD
INSIGHTS ARE THE NEW BLACK

4      11/2/19
DATA DRIVEN CX; DE NPS VOORBIJ - Underlined presentation by Theo van der Steen and Max Werkhoven
DATA-DRIVEN IN A CHANGED
WORLD / CAPTURING THE RIGHT
DATA

JOB TO BE DONE

“   “Our long held maxim - that understanding
     the customer is the crux of innovation - is
       wrong. Customers don't buy products or

                                                      ”
       services; they "hire" them to do a job.”

                             Clayton M. Christensen

5        11/2/19
DATA DRIVEN CX; DE NPS VOORBIJ - Underlined presentation by Theo van der Steen and Max Werkhoven
DATA-DRIVEN IN A CHANGED
WORLD / CAPTURING THE RIGHT
DATA

PEAK-END RULE

“    There is a confusion about experience and
    memory. We actually don’t choose between
    experiences, we choose between memories
                                of experiences.

                                   Daniel Kahneman
                             Nobel Prize Winner psychology   ”

6        11/2/19
DATA DRIVEN CX; DE NPS VOORBIJ - Underlined presentation by Theo van der Steen and Max Werkhoven
UNDERLINED DATA DRIVEN CX MATURITY SCAN

7   11/2/19
DATA DRIVEN CX; DE NPS VOORBIJ - Underlined presentation by Theo van der Steen and Max Werkhoven
LET’S START DATA DRIVEN CX

     What is data driven CX? Where and how can I get the right knowledge
               to understand what I can do in my own company?

8    11/2/19
DATA DRIVEN CX; DE NPS VOORBIJ - Underlined presentation by Theo van der Steen and Max Werkhoven
LET’S START DATA DRIVEN CX

9    11/2/19
DATA DRIVEN CX; DE NPS VOORBIJ - Underlined presentation by Theo van der Steen and Max Werkhoven
NPS OPEN FEEDBACK

How do we get insights out of the open text field answers in customer feedback surveys?

 10      11/2/19
NPS OPEN FEEDBACK

          Customers Feedback   Tekst Mining   Organisation

11   11/2/19
CX INSIGHTS FRAMEWORK

           How can we connect the dots! Align corporate direction,
        management decisions and value models with your core customer
                 journeys and impactfull change initiatives.

12   11/2/19
CX INSIGHTS FRAMEWORK
Main objective of
Measurement
                                                            Understand
Framework                                                   Opportunities

CX KPI’s                                                    CX KPI’s

Influencing factors
of KPI’s                                                    Emotion/NPS

Connected to
journeys/
touchpoints
                                                            Drivers

Strategic models, such
as: impact, drivers                                         Journeys
and loyalty                                                 & Impact

                         Examples based on fictional data
DATA SCIENCE MODELS

Continuously optimize the customer journey for claims, where we would like to have a
               digital first approach with maximum customer loyalty!

14     11/2/19
DATA SCIENCE MODELS

                  Examples based on fictional data

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DATA SCIENCE MODELS

               Point of measure           Point of measure           Point of measure

                                  Examples based on fictional data

16   11/2/19
DATA SCIENCE MODELS
                                                             Drivers NPS

   CX KPI’s   Journey: emotion and impact

                                                            Drivers journey
                         Examples based on fictional data
MINING OF EMOTIONAL JOURNEYS

     How can customer journey insights lead us through proces optimization?

18    11/2/19
MINING OF EMOTIONAL JOURNEYS
                                                                      Social media

JOURNEY MINING: EVERY SOURCE HAS ITS OWN STORY!
                                                           Mobile                    Online
For an omnichannel 360 degree customer view, you need
to connect the dots. Capture your customers’ experiences
and the data sources that fuel their story:

Telephone               Customer Question                                            Physical
CRM                     Customer View                      Big Data
                                                                                      Store
Back office             Customer Process
Social                  Customer Experience
Online & Mobile         Customer Behaviour                               CRM
Research                Customer Perception

19       11/2/19
MINING OF EMOTIONAL JOURNEYS
Here’s an example of a 360 customer view set mining

           In short: combine the usual with unearthing other, supporting and sometimes unusual data, but..

20       11/2/19
MINING OF EMOTIONAL JOURNEYS
   SURELY, THIS MUST BE MAGIC
          Automated data gathering            Text mining/clustering                  Process mining              Predictive analytics            Insights/dashboarding

                                  The answer is   yes             , it is!

      •     No SQL                        •    Parsing                       •    Markov                    •     Random forrest              •   Tableau
      •     Scraping                      •    Stemming                      •    Web to call               •     Regression                  •   Making actionable
      •     Continuous updating           •    Machine learning              •    …                         •     K-means                     •   …
      •     …                             •    K-means                                                      •     Feature selection
                                          •    …                                                            •     …

            What do we know                   What do our customers              How do do
                                                                                   How  customers  move
                                                                                           customers            What is my customer                  What do I need to
           about the customer                 want/ask at different                   through
                                                                                   move        ourour
                                                                                         through                   going to do?                         adjust in my
          journey if we combine               moments in time and                    organisation?                                                organisation to improve?
               all our data?                  where are the current
                                                     flaws?                                                             What makes a
                                                                                                                   customer (dis)satisfied?         How do my changes
                                                                                     What are the most                                               impact my client
                                                                                   frequently used paths?                                             (satisfaction)?
                                                     (Where) do we see                                          When do my customers
Questions from the business
                                                      concentrations?                                              need contact?
MINING OF EMOTIONAL JOURNEYS
APPROACH: ESSENTIAL STEPS

                  Customer

                             Start up                Order                   Order
         Before                                                                         After
                              phase                  phase                 completion
                  Company

                                        Examples based on fictional data

22    11/2/19
MINING OF EMOTIONAL JOURNEYS
WHAT DOES IT LOOK LIKE, THAT FIRST GLANCE AT DATA?

                              Two NPS surveys in one
                              enquiry proces, second time
                              customer fails to reply
              Different
              customer
              channels

                           Contacts are closed
                           and reopened                                              Duplicate information caused
                                                                                     by merging information from
                                                                                     different systems

                                                                 Extreme amounts
                                                                   of unstructured
                                                                data per customer

       Customer requires
       many contacts for
       resolution

                             Examples based on fictional data

23    11/2/19
MINING OF EMOTIONAL JOURNEYS
           LET’S START TO ENRICH DATA WITH JOURNEY CONTEXT…
Bron                  Actie                     Kanaal             Timestamp          Subject                              Journey    Episode       Activiteit Event Onderwerp

SF Case               Startproces               Backoffice         5-10-2015 18:25    Pensioeningang op 04-2016            Pensioen   Startbrief    1        1     Ingang

SF Task               Startproces               Post Uitgaand      7-10-2015 06:43    Pensioeningangsbrief                 Pensioen   Startbrief    1        2     Ingang

SF Task               Contactmoment: telefoon   Telefoon Inkomend 11-11-2015 09:58    Gesprek 11-11-2015 10                Pensioen   Startbrief    1        3     Geen onderwerp

SF Case               Contactmoment: telefoon   Telefoon           11-11-2015 10:06   Informatie prepensioen               Pensioen   Startbrief    1        4     Prepensioen

SF Task               Ingestuurde stukken       Post Inkomend      13-11-2015 08:02   Onbekend                             Pensioen   Startbrief    1        6     Geen onderwerp

SF Task               Eindproces                Post Uitgaand      13-11-2015 08:58   Gegevens compleet                    Pensioen   Afhandeling   1        7     Gegevens compleet

SF Task               Contactmoment: telefoon   Telefoon Inkomend 22-12-2015 09:38    Gesprek 22-12-2015 10                Pensioen   Nafase        2        1     Geen onderwerp

SF ContactMeasurement Contactmoment: telefoon   Email Uitgaand     22-12-2015 09:50   NPS Meting                           Pensioen   Nafase        2        4

SF Task               Contactmoment: telefoon   Email Uitgaand     22-12-2015 09:50   E-mail                               Pensioen   Nafase        2        5     Geen onderwerp

SF Email              Contactmoment: telefoon   Email Outbound     22-12-2015 09:50   Besproken informatie Mijn Omgeving   Pensioen   Nafase        2        6     Zelfservice

SF Case               Contactmoment: telefoon   Telefoon           18-2-2016 12:42    activatiecode aanvragen              Pensioen   Nafase        3        2     Zelfservice

SF Task               Uitgaande stukken         Overig             21-2-2016 16:21    Uitgaand Post                        Pensioen   Nafase        3        3     Geen onderwerp

SF Case               Contactmoment: telefoon   Telefoon           1-4-2016 16:51     Prepensioen storting                 Pensioen   Nafase        4        1     Prepensioen

SF ContactMeasurement Contactmoment: telefoon   Email Uitgaand     1-4-2016 16:54     NPS Meting                           Pensioen   Nafase        4        2

                                                                         Examples based on fictional data

           24            11/2/19
MINING OF EMOTIONAL JOURNEYS
… AND COMBINE IT WITH NPS INSIGHTS: PERCEPTION & EMOTION

                                                             The type of experience is
                                                             highly dependent on the
                                                             particular process involved

                          Examples based on fictional data

25    11/2/19
DATA-DRIVEN IMPACT
IN THE ORGANISATION

“      The tipping point is that magic moment
      when an idea, trend, or social behaviour
     crosses a threshold, tips, and spreads like

                                                     ”
                                       wildfire.

                                - Malcolm Gladwell

26       11/2/19
DATA-DRIVEN IMPACT IN THE
ORGANISATION | YOU AND THE BOARD
 The CX disconnect
 Walker asked over 550 CEO’s and 400 CX professionals and found out a disconnect in
 language and actions

 Recognizing what CEOs value and what ultimately drives competitive advantage,
 CX and data professionals must:

 1.   Align their efforts with the business outcomes CEOs want. CX and data
      professionals must connect the dots and show how CX initiatives result in concrete
      outcomes.

 2.   Plan innovation, design a roadmap to alternate customary break fix activities with
      breakthrough initiatives.

 3.   Build an engaged customer-focused workforce by helping (inspiring) employees
      identify with the programme, the customers and have their voice heard.

27            11/2/19
DATA-DRIVEN IN A CHANGED
WORLD / CAPTURING THE RIGHT
DATA

HEART AND HEAD

     Let’s simplify: never forget it’s about the
     heart and the head playing together.

     Sometimes it’s just very different
     (emotional) drivers that cause behaviour…

28          11/2/19
DATA-DRIVEN IMPACT IN THE ORGANISATION
| GOOD READS
 You know your standard books on strategic innovation…
 TIP: Here’s 5 off-beat reads to spark new ideas.

       Stephan van Slooten         https://hbr.org/2017/01/        Steven van Belleghem    https://hbr.org/2001/09/       Gerry McGovern
        Met bijdrage Theo     are-you-solving-the-right-problems                          the-weird-rules-of-creativity
          van der Steen

29           11/2/19
GOOD LUCK WITH BOOSTING YOUR NPS!

30   11/2/19
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