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Customer Feedback
                    Techniques

    Frederick C. Van Bennekom, Dr.B.A.
                           Great Brook Consulting
               Northeastern University Executive MBA Program
                     Hult International Business School

           Enhancing Organizational Improvement
               Through Customer Feedback
                     421 Main Street F       Bolton, MA 01740
                       (978) 779 -6312 F    (877) GreatBr Toll Free
         information@greatbrook.com F        www.greatbrook.com

© Fred Van Bennekom, Great Brook, 2005                                  Slide 1




  Customer Feedback Points
                                             Service Recovery

     Needs                                 Initial           Event
   Assessment                            Customer          Experience
                                         Experience

                    Value added chain
    Concept & Design... Replication… Sales… Install… Use… Support...



                                                Relationship

                          Continuous improvement


© Fred Van Bennekom, Great Brook, 2005                                  Slide 2




  Portfolio of Feedback Methods
     Listen to the                                Listen Actively
     Extremes                            Take a pulse constantly




     Defectors                     Listen Broadly                 Evangelists

                                  At a high level to a cross-spectrum,
                                  representative group of customers
                                         -- Mass Surveys

        Listen               In detail to a select few customers
        Deeply                      – Interviews or Focus Groups
© Fred Van Bennekom, Great Brook, 2005                                  Slide 3




                                                                                  1
Portfolio of Feedback Methods
                                                      Generalizability
                                                        of Results
                     •Passive               • Call      •Active
                      Surveys                 Monitoring Surveys
                                 •User Groups
                            •Interviews
                            •Focus Groups
                         • Mystery Shopping
                     •Unsolicited Comments
   Depth of
   Context
© Fred Van Bennekom, Great Brook, 2005                                     Slide 4




  Understand Scientific
                                                             Sample is
   Survey Principles                                         randomly
                 Population                                generated from
                                                             Population
                 rr     x
                           r                          Sample
             x   x  Design & Administer
                             x
                      x
                r Instrument to a Sample
                    x                                   r
        x   x x           r xx                            r     r
          x       x x      x                             r             Analyze
                     x
        x    x x      x                                       r r      Sample
         x     x     rx x        x x                   r
                            x                                 r         Data
    x
         r     x x
                     x       Generalize Results
                x       x
           x        r          x
                              to the Population
                  x       x
                     x          x
                                              Surveying a Sample is More
                                               Efficient Than a Full Census
  Instrument Validity + Administration Accuracy = Reliability
© Fred Van Bennekom, Great Brook, 2005                                     Slide 5




  Fighting Bias & Error in a Survey to
   Deliver Meaningful Findings

 Instrument                        Survey                       Analysis &
   Design                       Administration                  Reporting

                              – Sampling procedure            – Bad model for
– Instrumentation
                                                                analysis
  bias                        – Defining relevant
                                population                    – Error in
– Questions that
                                                                analysis
  do not support              – Administration
  desired analysis              technique bias                – Weak
                                                                presentation
                              – Non-response bias
                                                                of the findings
                              – Response bias
© Fred Van Bennekom, Great Brook, 2005                                     Slide 6




                                                                                     2
How Can Surveys Be Conducted?

  q   Postal Mail — Hardcopy
  q   Telephone
  q   Email
  q   Web Forms – with an invitation!
  q   Point of Contact
  q   IVR
  q   Diskette



© Fred Van Bennekom, Great Brook, 2005                             Slide 7




  What are the Criteria for
  Choosing a Survey Method?
  q   Response rate                      q   Question complexity
  q   Speed of generating data           q   Administration control for
  q   Cost per completed survey              question branching
      response                           q   Interviewer bias
  q   Scalability of the                 q   Administration bias
      administration                     q   Anonymity guarantee
  q   Ability to clarify questions       q   Willingness to provide
      for the respondent                     comments
  q   Feedback on the                    q   Quality & nature of
      instrument during its                  comments
      administration

© Fred Van Bennekom, Great Brook, 2005                             Slide 8




  How Does Each
   Survey Method Rate?
                                Telephone         Mail      Electronic
       Response Rate               High           Low         High
       Speed (IVR)                 Fast           Slow      Very Fast
       Cost per Completed Survey High             Low        Lowest
       Scalability                Linear         Some       Very High
       Ability to Clarify         High.           None       Limited
       Instrument Feedback         Yes           Some         None
       Question Complexity      Very Low        Highest     High/Low
       Administration Control Interviewer      Respondent Depends...
       Anonymity                   None           Yes      Questionable
       Comments                Spontaneous       Cryptic  Contemplative
       Interviewer Bias        High Potential     None        None
       Administration Bias        Limited     Non-Response Sample Bias

© Fred Van Bennekom, Great Brook, 2005                             Slide 9




                                                                             3
Administration Bias
                                    Population

                                                        x
                                    x
                                                                                 Sample
                         x                                      x
                                                    x
                                x x             x               x                  r
                    x                                           x                    r   r
                        x                   x               x
                                            x    x                                  r
                    x                           x                                   r    r
                     x        x x
                                 x        x
                                          x   x xx                                r r
                x                x rx r x r
                               x x x x      x
                                                x
                            x        r r x
                                r x x x
                                   x          r
                             x               x
                                    r   x


            • Random selection from a biased subset of the
              population is NOT a random sample!
© Fred Van Bennekom, Great Brook, 2005                                                        Slide 10




  Non-Response Bias

                    Population                                                       Response
                                                                      Sample
                            rr              x
                                                                                      Group
                        x                       r
            x               x
                            r           x                              r
                                    x                                    r               rr
        x           x x  r xx                                           r    r
            x             x     x                                            r            r
                    x           x                                        r
       x x x       x
        x    x rx x           x                             x          r r
     x       x x        x
         r    x xx
           x     r          x
               x      x
                  x          x
                                                            The Sample was drawn randomly from
                                                            the Population, but the Response Group
                                                            is not representative of the Sample.
© Fred Van Bennekom, Great Brook, 2005                                                        Slide 11




  Thanks for Attending




© Fred Van Bennekom, Great Brook, 2005                                                        Slide 12




                                                                                                         4

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137 van beckom

  • 1. Customer Feedback Techniques Frederick C. Van Bennekom, Dr.B.A. Great Brook Consulting Northeastern University Executive MBA Program Hult International Business School Enhancing Organizational Improvement Through Customer Feedback 421 Main Street F Bolton, MA 01740 (978) 779 -6312 F (877) GreatBr Toll Free information@greatbrook.com F www.greatbrook.com © Fred Van Bennekom, Great Brook, 2005 Slide 1 Customer Feedback Points Service Recovery Needs Initial Event Assessment Customer Experience Experience Value added chain Concept & Design... Replication… Sales… Install… Use… Support... Relationship Continuous improvement © Fred Van Bennekom, Great Brook, 2005 Slide 2 Portfolio of Feedback Methods Listen to the Listen Actively Extremes Take a pulse constantly Defectors Listen Broadly Evangelists At a high level to a cross-spectrum, representative group of customers -- Mass Surveys Listen In detail to a select few customers Deeply – Interviews or Focus Groups © Fred Van Bennekom, Great Brook, 2005 Slide 3 1
  • 2. Portfolio of Feedback Methods Generalizability of Results •Passive • Call •Active Surveys Monitoring Surveys •User Groups •Interviews •Focus Groups • Mystery Shopping •Unsolicited Comments Depth of Context © Fred Van Bennekom, Great Brook, 2005 Slide 4 Understand Scientific Sample is Survey Principles randomly Population generated from Population rr x r Sample x x Design & Administer x x r Instrument to a Sample x r x x x r xx r r x x x x r Analyze x x x x x r r Sample x x rx x x x r x r Data x r x x x Generalize Results x x x r x to the Population x x x x Surveying a Sample is More Efficient Than a Full Census Instrument Validity + Administration Accuracy = Reliability © Fred Van Bennekom, Great Brook, 2005 Slide 5 Fighting Bias & Error in a Survey to Deliver Meaningful Findings Instrument Survey Analysis & Design Administration Reporting – Sampling procedure – Bad model for – Instrumentation analysis bias – Defining relevant population – Error in – Questions that analysis do not support – Administration desired analysis technique bias – Weak presentation – Non-response bias of the findings – Response bias © Fred Van Bennekom, Great Brook, 2005 Slide 6 2
  • 3. How Can Surveys Be Conducted? q Postal Mail — Hardcopy q Telephone q Email q Web Forms – with an invitation! q Point of Contact q IVR q Diskette © Fred Van Bennekom, Great Brook, 2005 Slide 7 What are the Criteria for Choosing a Survey Method? q Response rate q Question complexity q Speed of generating data q Administration control for q Cost per completed survey question branching response q Interviewer bias q Scalability of the q Administration bias administration q Anonymity guarantee q Ability to clarify questions q Willingness to provide for the respondent comments q Feedback on the q Quality & nature of instrument during its comments administration © Fred Van Bennekom, Great Brook, 2005 Slide 8 How Does Each Survey Method Rate? Telephone Mail Electronic Response Rate High Low High Speed (IVR) Fast Slow Very Fast Cost per Completed Survey High Low Lowest Scalability Linear Some Very High Ability to Clarify High. None Limited Instrument Feedback Yes Some None Question Complexity Very Low Highest High/Low Administration Control Interviewer Respondent Depends... Anonymity None Yes Questionable Comments Spontaneous Cryptic Contemplative Interviewer Bias High Potential None None Administration Bias Limited Non-Response Sample Bias © Fred Van Bennekom, Great Brook, 2005 Slide 9 3
  • 4. Administration Bias Population x x Sample x x x x x x x r x x r r x x x x x r x x r r x x x x x x x xx r r x x rx r x r x x x x x x x r r x r x x x x r x x r x • Random selection from a biased subset of the population is NOT a random sample! © Fred Van Bennekom, Great Brook, 2005 Slide 10 Non-Response Bias Population Response Sample rr x Group x r x x r x r x r rr x x x r xx r r x x x r r x x r x x x x x x rx x x x r r x x x x r x xx x r x x x x x The Sample was drawn randomly from the Population, but the Response Group is not representative of the Sample. © Fred Van Bennekom, Great Brook, 2005 Slide 11 Thanks for Attending © Fred Van Bennekom, Great Brook, 2005 Slide 12 4