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SERVICE OPERATIONS MANAGEMENT
      The Measure of Success
   Better Metrics for Customer Satisfaction

                                         Group 4:
                                         Amit Raizada
                                         Angshuman Adhikari
                                         Rajat Prasad
                                         Sreekanth Daruvuri
                                         Vivek Pandey
The Measurement of Success
                   Better Metrics for Customer Satisfaction

                                                    Three Major Products
                         Financial-software
                             company


                                              Quicken     QuickBooks     TurboTax

                 Driving Good
                 Profits is True
                  Growth???


Leadership – Scott Cook, Harvard MBA, Stint at
Procter & Gamble before cofounding the company.


Intuit’s Mission : “ To make the customer feel so good about the product they’ll
go and tell five friends to buy it.”
Evolution of Intuit…

                                    Losing sight of its
                                  relationships with its
                                        customer.



                                                              Rapidly growing
 Customer                                                  business, thousands
 feedback                                                  of people in multiple
                                                                 locations
    was                         Gone Public in 1993
immediate
and direct.                                                          Vague
                                                                  statistics of
              Birth in 1983
                                                                 “satisfaction”

                “Follow-
               me-home”                                                   Managers
               program.                                                  focused on
                                                                           profits.
The Challenge: Measuring Customer Happiness
                 Conventional customer satisfaction measures are less
                                     reliable.

              Hire Market-research firms to conduct satisfaction surveys.

       Track customer retention rates.                How fast the bucket is filling up?



             Twenty questions on Loyalty Acid Test, Bain designed survey.
   Asses the state of relations between a
                                                A survey designed by Bain several years ago.
        company and its customer.



                          Assistance of Satmetrix Systems ,Inc.
Develops software to gather and analyze real-   Detailed information from 4000 customers,14
          time customer feedback.                               case studies.

                Measure the link between individual customer’s survey
                 responses and their purchase or referral behavior.
Discovering the Ultimate Question
  What is the Ultimate Question?

Key Features:
Statistical correlation with repeat purchases or referrals
Predict customer behavior
Predict a company’s growth
Gauges customer loyalty

  Which is the Ultimate Question?

      Fred’s Favorite:                          B2C:                        B2B:



                                     “How likely is it that you   “How likely is it that you
  “How strongly do you
                                       would recommend            will continue to purchase
  agree that Company X
                                     Company X to a friend or      products or services of
 deserves your loyalty? ”
                                          colleague? ”                  Company X? ”
When do customers make a personal referral?

           They believe that the Company offers superior value – In
               terms of price, quality, functionality, ease of use




                         They must “feel good” about their relationship with the Company – The
                        Company knows them, understands them, values them, listens to them &
                                                 shares their principles




The 1st Condition engages     The 2nd Condition engages      It tests both the rational &
  the Customer’s Head           the Customer’s Heart            emotional dimensions
Scoring the Answers
Optimum Scale:                    Right Categorization:
 Must make sense to customers     Divide customers into groups
   answering the questions.          deserving different attention.
 Easily differentiable            Easily understandable
 Simple Scale of 1-10 selected    Based on Consumer Behaviour
  Not at all Likely
                      0                       Detractors:
                      1             More than 80% of negative
                      2              WOM comments.
                      3             Some customers profitable yet
                                     damaging company reputation.
                      4
                                               Passives:
       Neutral        5             Motivated by inertia more than
                      6              loyalty.
                      7             May not defect until somebody
                                     offers a better deal.
                      8
                      9                       Promoters:
   Extremely Likely                 Highest repurchase rates.
                      10            Accounted for more than 80% of
                                     the referrals.
Scoring the Answers contd…%
Questions Answered:
    Can the frontline managers grasp the customer satisfaction metric easily?


   Does it help employees clarify and simplify the job of delighting customers?

   Does it allow employees to compare their performance from week to week,
                             month to month etc.?




            Percentage              Percentage                   Net
                of                      of                    Promoter
            Promoters               Detractors                  Score


 Any company seeking growth must concentrate on both – increasing percentage of
  Promoters and decreasing percentage of Detractors.
 NPS is to customer satisfaction as net profit is to financial performance.
Solving Intuit’s Problem

Implementation program for measuring NPS began in the spring of 2003


Initial phone survey process based on two questions
• What is the likelihood you would recommend to a friend or colleague?
• What is the most important reason for the score you gave?

Determine the existing mix of promoters, passives and detractors in each major business line


                                                  Above the NPS
       Initial NPS                                                         Room for
                             27 %to 52%            of average US
          score                                                          improvement
                                                  company – 10%




 Problems with phone survey

• No way to close loop with detractors
• Open ended response manager’s interpretation
• Confusing and contradictory responses
Solving Intuit’s Problem
                        “Would
                     recommend”                   Steady flow
Formal Audit          question in                    of NPS
                      transaction                   insights
                        surveys

                                                                Hot spots relating
                                                                   to customer
                                                                 experience with
                                                                  the company




                 Problem            Cause         Solution                 Result

               • Low NPS        • Charging      • Free tech-         • NPS score
                 score for        customers       support for          increased
                 customers        for tech-       first 30             by 30%
                 who called       support         days of
                 Tech             phone calls     ownership
                 support
Solving Intuit’s Problem
                                    6000 member “Inner circle” of customers whose
                                        feedback was taken for managerial decision

Problem    Market share plummeted by 30 points from 2001 to 2003

              Detractors                     Promoters                  New customer
                  Improved quality of
 Cause             technical support
                                              Longer rebate process         Confusing tax jargons


                 Improve installation                                       30% never used the
                      process                                             product the second time


               Relocated all phone tech-                                   New priority for design
               support from India to US                                    engineers – ‘make the
                     and Canada                  Redesigned and              program simpler’
Solution
                                              simplified rebate forms     Snap tax – for people with
               Increased tech -support
                                                                          simple straight forward tax
                    staffing level                                                  returns

                    50% reduction in
                                             Turnaround time reduced       NPS of first time users
                installation related tech-
                                                 by several weeks          higher than that of long
                    support contacts
 Result                                                                      time users (Snap tax
                                                                           generated NPS of 64%)
Intuits Results: Happy customers & Shareholders
                   Over 2 year period from spring 2003 to the spring of 2005, Net promoter score for Turbo
                                                        max jumped


                                          The desktop version rose from 46 % to 61 %



                                          New user’s scores climbed from 48% to 58%



                       Retail market share surged from 70% to 79 % (Not easy feat in maturing market)


                    Provided actionable insights. Every business line addresses this as part of their strategic
                      plan, it’s component of every operating budget, it’s part of every executive’s bonus.




“Net promoter gives us a tool to really focus organizational energy around building a
better customer experience”                                       - CEO Steve Bennet
Intuits Results: Happy customers & Shareholders
Just as 6-Sigma had helped intuit improve its business process to lower costs and enhance quality, Net Promoter
Scores were helping it set priorities and measure progress toward the fundamental goal of stronger customer
loyalty


The more metrics are tracked, the less relevant each one becomes



Each manager will choose to focus on the number that makes his decision looks good.


The concept of one single metric has produced a huge benefit for intuit – customers, employees and investors
alike


It was a business-critical priority so important to Intuit’s future that it deserved to be understood by shareholders
NPS - Beyond Intuit Case
NPS Vs American Customer Satisfaction Index
Traditional customer-satisfaction measures typically omitted willingness to recommend,
instead focusing on aspects like perceived value, customer satisfaction, corporate image,
and rational and emotional commitment


                                             American Customer Satisfaction Index
Critics of NPS
Critics contend that it doesn't, that its 11-point scale has lower predictive validity than
other scales, that the segmentation of promoters/neutrals/detractors is arbitrary and
that other questions may be better predictors of growth rates



Not the Most Important Customer-Satisfaction Question

We find no support for the claim that Net Promoter is the 'single most reliable indicator of a
company's ability to grow


Doesn't Accurately Differentiate Promoters and Detractors


 "The rule-of-thumb score classes proposed by Reichheld (promoters are those respondents who
 give a likelihood of recommendation of 9 or 10 while the detractors give 6 or less) are not
 supported statistically, mask important changes and potentially mislead management that there
 is negative NPS when this may not be the case

Sources:
"A Longitudinal Examination of Net Promoter and Firm Revenue Growth“
 - Ken Roberts, Forethought Research Australia
Critics of NPS

  Less Accurate than Composite Index of 3 Questions -


  A single item question is much less reliable and more volatile than a composite index.



  Fails to Predict Loyalty Behaviors -


  Contrary to assertions, the results indicate that recommend intention alone will not suffice as a
  single predictor of customers' future loyalty behaviors.

  Use of multiple indicators instead of a single predictor model performs significantly better in
  predicting customer recommendations and retention

  NPS is attitudinal rather than behavioral, measuring how many people say they would be likely to
  recommend, rather than how many are doing so.


- Customer Satisfaction - The customer experience through the customer's eyes, Nigel Hill, Greg Roche and Rachel Allen, p. 7
The Value of Different Customer Satisfaction and Loyalty Metrics in Predicting Customer Retention, Recommendation, and Share-of-
Wallet" (Timothy L. Keiningham, Bruce Cooil, Lerzan Aksoy, Tor W. Andreassen, Jay Weiner).
Critics of NPS

Performs Worse than Satisfaction & Liking Questions


The paper "Measuring Customer Satisfaction and Loyalty: Improving the ‘Net-Promoter' Score"
by Daniel Schneider, Matt Berent, Randall Thomas and Jon Krosnick counter intuitively
demonstrates that "satisfaction" and "liking" are better predictors of recommendations than
"likelihood to recommend".



Performs Worse than Other Scales


Schneider et al also demonstrate that the 11-point scale has the lowest predictive value of any
of the scales tested. The authors recommend a 7-point scale with labeled ends and midpoint for
the willingness-to-recommend question but also recommend a bipolar scale for a reworded
variant
Net Promoter Score

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Net Promoter Score

  • 1. SERVICE OPERATIONS MANAGEMENT The Measure of Success Better Metrics for Customer Satisfaction Group 4: Amit Raizada Angshuman Adhikari Rajat Prasad Sreekanth Daruvuri Vivek Pandey
  • 2. The Measurement of Success Better Metrics for Customer Satisfaction Three Major Products Financial-software company Quicken QuickBooks TurboTax Driving Good Profits is True Growth??? Leadership – Scott Cook, Harvard MBA, Stint at Procter & Gamble before cofounding the company. Intuit’s Mission : “ To make the customer feel so good about the product they’ll go and tell five friends to buy it.”
  • 3. Evolution of Intuit… Losing sight of its relationships with its customer. Rapidly growing Customer business, thousands feedback of people in multiple locations was Gone Public in 1993 immediate and direct. Vague statistics of Birth in 1983 “satisfaction” “Follow- me-home” Managers program. focused on profits.
  • 4. The Challenge: Measuring Customer Happiness Conventional customer satisfaction measures are less reliable. Hire Market-research firms to conduct satisfaction surveys. Track customer retention rates. How fast the bucket is filling up? Twenty questions on Loyalty Acid Test, Bain designed survey. Asses the state of relations between a A survey designed by Bain several years ago. company and its customer. Assistance of Satmetrix Systems ,Inc. Develops software to gather and analyze real- Detailed information from 4000 customers,14 time customer feedback. case studies. Measure the link between individual customer’s survey responses and their purchase or referral behavior.
  • 5. Discovering the Ultimate Question What is the Ultimate Question? Key Features: Statistical correlation with repeat purchases or referrals Predict customer behavior Predict a company’s growth Gauges customer loyalty Which is the Ultimate Question? Fred’s Favorite: B2C: B2B: “How likely is it that you “How likely is it that you “How strongly do you would recommend will continue to purchase agree that Company X Company X to a friend or products or services of deserves your loyalty? ” colleague? ” Company X? ”
  • 6. When do customers make a personal referral? They believe that the Company offers superior value – In terms of price, quality, functionality, ease of use They must “feel good” about their relationship with the Company – The Company knows them, understands them, values them, listens to them & shares their principles The 1st Condition engages The 2nd Condition engages It tests both the rational & the Customer’s Head the Customer’s Heart emotional dimensions
  • 7. Scoring the Answers Optimum Scale: Right Categorization:  Must make sense to customers  Divide customers into groups answering the questions. deserving different attention.  Easily differentiable  Easily understandable  Simple Scale of 1-10 selected  Based on Consumer Behaviour Not at all Likely 0 Detractors: 1  More than 80% of negative 2 WOM comments. 3  Some customers profitable yet damaging company reputation. 4 Passives: Neutral 5  Motivated by inertia more than 6 loyalty. 7  May not defect until somebody offers a better deal. 8 9 Promoters: Extremely Likely  Highest repurchase rates. 10  Accounted for more than 80% of the referrals.
  • 8. Scoring the Answers contd…% Questions Answered: Can the frontline managers grasp the customer satisfaction metric easily? Does it help employees clarify and simplify the job of delighting customers? Does it allow employees to compare their performance from week to week, month to month etc.? Percentage Percentage Net of of Promoter Promoters Detractors Score  Any company seeking growth must concentrate on both – increasing percentage of Promoters and decreasing percentage of Detractors.  NPS is to customer satisfaction as net profit is to financial performance.
  • 9. Solving Intuit’s Problem Implementation program for measuring NPS began in the spring of 2003 Initial phone survey process based on two questions • What is the likelihood you would recommend to a friend or colleague? • What is the most important reason for the score you gave? Determine the existing mix of promoters, passives and detractors in each major business line Above the NPS Initial NPS Room for 27 %to 52% of average US score improvement company – 10% Problems with phone survey • No way to close loop with detractors • Open ended response manager’s interpretation • Confusing and contradictory responses
  • 10. Solving Intuit’s Problem “Would recommend” Steady flow Formal Audit question in of NPS transaction insights surveys Hot spots relating to customer experience with the company Problem Cause Solution Result • Low NPS • Charging • Free tech- • NPS score score for customers support for increased customers for tech- first 30 by 30% who called support days of Tech phone calls ownership support
  • 11. Solving Intuit’s Problem 6000 member “Inner circle” of customers whose feedback was taken for managerial decision Problem Market share plummeted by 30 points from 2001 to 2003 Detractors Promoters New customer Improved quality of Cause technical support Longer rebate process Confusing tax jargons Improve installation 30% never used the process product the second time Relocated all phone tech- New priority for design support from India to US engineers – ‘make the and Canada Redesigned and program simpler’ Solution simplified rebate forms Snap tax – for people with Increased tech -support simple straight forward tax staffing level returns 50% reduction in Turnaround time reduced NPS of first time users installation related tech- by several weeks higher than that of long support contacts Result time users (Snap tax generated NPS of 64%)
  • 12. Intuits Results: Happy customers & Shareholders Over 2 year period from spring 2003 to the spring of 2005, Net promoter score for Turbo max jumped The desktop version rose from 46 % to 61 % New user’s scores climbed from 48% to 58% Retail market share surged from 70% to 79 % (Not easy feat in maturing market) Provided actionable insights. Every business line addresses this as part of their strategic plan, it’s component of every operating budget, it’s part of every executive’s bonus. “Net promoter gives us a tool to really focus organizational energy around building a better customer experience” - CEO Steve Bennet
  • 13. Intuits Results: Happy customers & Shareholders Just as 6-Sigma had helped intuit improve its business process to lower costs and enhance quality, Net Promoter Scores were helping it set priorities and measure progress toward the fundamental goal of stronger customer loyalty The more metrics are tracked, the less relevant each one becomes Each manager will choose to focus on the number that makes his decision looks good. The concept of one single metric has produced a huge benefit for intuit – customers, employees and investors alike It was a business-critical priority so important to Intuit’s future that it deserved to be understood by shareholders
  • 14. NPS - Beyond Intuit Case
  • 15. NPS Vs American Customer Satisfaction Index Traditional customer-satisfaction measures typically omitted willingness to recommend, instead focusing on aspects like perceived value, customer satisfaction, corporate image, and rational and emotional commitment American Customer Satisfaction Index
  • 16. Critics of NPS Critics contend that it doesn't, that its 11-point scale has lower predictive validity than other scales, that the segmentation of promoters/neutrals/detractors is arbitrary and that other questions may be better predictors of growth rates Not the Most Important Customer-Satisfaction Question We find no support for the claim that Net Promoter is the 'single most reliable indicator of a company's ability to grow Doesn't Accurately Differentiate Promoters and Detractors "The rule-of-thumb score classes proposed by Reichheld (promoters are those respondents who give a likelihood of recommendation of 9 or 10 while the detractors give 6 or less) are not supported statistically, mask important changes and potentially mislead management that there is negative NPS when this may not be the case Sources: "A Longitudinal Examination of Net Promoter and Firm Revenue Growth“ - Ken Roberts, Forethought Research Australia
  • 17. Critics of NPS Less Accurate than Composite Index of 3 Questions - A single item question is much less reliable and more volatile than a composite index. Fails to Predict Loyalty Behaviors - Contrary to assertions, the results indicate that recommend intention alone will not suffice as a single predictor of customers' future loyalty behaviors. Use of multiple indicators instead of a single predictor model performs significantly better in predicting customer recommendations and retention NPS is attitudinal rather than behavioral, measuring how many people say they would be likely to recommend, rather than how many are doing so. - Customer Satisfaction - The customer experience through the customer's eyes, Nigel Hill, Greg Roche and Rachel Allen, p. 7 The Value of Different Customer Satisfaction and Loyalty Metrics in Predicting Customer Retention, Recommendation, and Share-of- Wallet" (Timothy L. Keiningham, Bruce Cooil, Lerzan Aksoy, Tor W. Andreassen, Jay Weiner).
  • 18. Critics of NPS Performs Worse than Satisfaction & Liking Questions The paper "Measuring Customer Satisfaction and Loyalty: Improving the ‘Net-Promoter' Score" by Daniel Schneider, Matt Berent, Randall Thomas and Jon Krosnick counter intuitively demonstrates that "satisfaction" and "liking" are better predictors of recommendations than "likelihood to recommend". Performs Worse than Other Scales Schneider et al also demonstrate that the 11-point scale has the lowest predictive value of any of the scales tested. The authors recommend a 7-point scale with labeled ends and midpoint for the willingness-to-recommend question but also recommend a bipolar scale for a reworded variant

Notas del editor

  1. In his Harvard Business Review article ‘The One Number You Need to Grow', Reichheld maintained that since his tests showed propensity to recommend to be the single question that had the strongest statistical relationship to future company performance, there was no point asking any other questions in customer surveys.