Complaint Management Flashcards

1
Q

Def Complaint

A

: „ Articulations of dissatisfaction expressed to
companies or third institutions with the purpose of drawing
attention to a provider’s behaviour which is subjectively
perceived as damaging, of making amends for impairments
suffered and/or of bringing about a change in the criticised
behaviour.“

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2
Q

Def Claim

A

The customer explicitly or implicitly associates
complaints about a product or service in the post-purchase
phase with a legal claim that may be legally enforceable.“

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3
Q

Def Failure

A

The termination of the ability of an item to perform a required
function. After a failure the item has a fault.

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4
Q

Def Lifetime

A

The lifetime of a product is the time until failure

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5
Q

Name steps of Kaplan-Meier Algorithm

A
  1. Sort machines by machine type
  2. Extract failure status
  3. Rank machines by lifetime
  4. Calculate survival probabilities
  5. Draw Kaplan-Meier curve
  6. Extract mean time to failure
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6
Q

Types of Failures

A
  • Early failures
  • Random failures
  • Wear and fatigue failures
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7
Q

Main Take-Aways from Today’s Lecture - Exercise

A

 Both, complaints and claims are articulations of dissatisfaction, yet claims may be
legally enforceable.
 The Kaplan-Meier algorithm is used to estimate the failure probability for censored
and uncensored data.
 Failure probabilities of a product in the field are characterized by the bathtub curve.
 The Weibull distribution is a parametric approach to describe a failure behavior.
 The Weibull plot is a graphic way to estimate the Weibull parameters

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8
Q

Complaint and claim data can be submitted to a company in two
ways:

A
Direkt:
• Email
• Service Hotline
• Letter
• Fax

Indirect:
• Social Media
• Blogs
• Newspaper

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9
Q

s There Are Many Weak Points in the Handling of Complaints!

A

Structural weaknesses
Informational weaknesses
Organizational weaknesses

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10
Q

Structural weaknesses

A

 Complaint channels are unknown to customers

 Complaints are recorded incompletely or unstructured

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11
Q

Informational weaknesses

A

 Data is not used to eliminate causes

 No continuous root cause analysis of the supply chain available

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12
Q

Organizational weaknesses

A

 Lack of integration of marketing organization
 Sales integration is inadequate
 Profitability is not measured

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13
Q

Satisfied customers lead to…

A
  1. a high customer loyalty
  2. a positive word-of-mouth
    recommendation
  3. a stable turnover
  4. a high price willingness
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14
Q

Benefits of an Effective Failure & Complaints Management Process

A
  • Customer benefits
     Avoidance of negative customer reactions
     Restoration of customer satisfaction/ - loyalty
  • Product benefits
     Identification of weaknesses and opportunities
     Improvement of the product quality
  • Monetary benefits
     Minimization of warranty and goodwill costs
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15
Q

The Failure & Complaint management process is as a part of the Quality Backward Chain and is divided into five steps

A
  1. Data Organisation
  2. Failure evaluation
  3. Failure shutdown
  4. Knowledge & solution transfer
  5. Customer Communication
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16
Q

What is Business Process Modelling

A

In business process modeling, business processes or parts of them are abstracted, represented graphically
and thus modelled. Besides the process flow also data can be modeled.

17
Q

Process Mining

name the three main parts

A

Discovery
Conformance
Enhancement

18
Q

Challenges of Social Media Acquisition and Processing

A
  1. Identification of relevant channels
  2. Getting crawling of Social Data and interpretation
  3. Compliance with the DSGVO
  4. Transformation into a uniform data format and
    analysis
  5. Differentiation between positive and negative
    comments
19
Q

How to Mine Social Media Data

A
DEFINE
SEARCH
CRAWL
MINE
IMPROVE
20
Q

Main Take-Aways from Today’s Lecture

A

 Both, Complaints and claims are articulations of dissatisfaction, yet claims
may be legally enforceable.
 It is necessary to embed the Complaint & Failure management processes
into the Quality Backward Chain to ensure a continuous improvement.
 Failure probabilities of a product in the field are characterized by the bathtub
curve.
 The process to mine Social Media data is similar to the DMAIC cycle.