Glossary of Terms Flashcards

1
Q

affective science

A

The scientific study of emotions or the affective process

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2
Q

brain habituation

A

A state where the brain becomes adapted to incoming stimuli and begins to disengage. This
adaption is usually because no changes have occurred within the stimuli, thus the brain can predict
correctly what will come.

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3
Q

bridging

A

The process of bringing together experience indicators to create a better foundation for a staged
experience.

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4
Q

capability

A

The state to which an organization is equipped to deliver an experience management project.

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5
Q

collective experience measurements

A

Looking for patterns in feelings that are held by a collective group of people. The common factor
in these groups may be roles or culture. Understanding them enables a more tailored experience
to be designed for the group.

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6
Q

commercial value

A

An economic value that is concerned with the benefits brought by sales and brand.

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7
Q

communications strategy

A

A key part of the XMO, this strategy refers to the need for the XMO leadership team to communicate
across the ecosystem continually throughout the XMO’s missions and activities.

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8
Q

customer value

A

An economic value that refers to how customers understand the value of a product/service.

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9
Q

data collection and timings

A

A part of the XMO, the data collection principle refers to the need for the XMO to continuously
gather data, in a structured manner; i.e. not too often to cause survey fatigue and not too rarely to
cause significant experience gaps.

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10
Q

desired experience

A

The experience that our customers/employees wish to have with their product/service.

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11
Q

detractors

A

Individuals or entities that dismiss experience management.

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12
Q

efficiency value

A

An economic value that aims to deliver the same output for less. This can include less money, time,
or organizational resources.

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13
Q

emotional connection

A

With regard to experience, an emotional connection means putting yourself in your employees’/
customers’ shoes to understand their sentiment and perceptive reality.

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14
Q

employee needs

A

Aspects of experience that are needed for employees to perform their job better; for example,
working technology, consistent availability of services, or faster resolutions.

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15
Q

employee wants

A

Aspects of experience that are desired but not necessarily needed in order for employees to
perform their job better; for example, a completely up-to-date device.

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16
Q

experience

A

Something that happens and the way it makes you feel.

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17
Q

experience anticipation

A

The kind of experience people expect from a product or service, based upon factors including brand
reputation, individual expectation, promises/commitments to experience and personal memories.

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18
Q

experience anxiety

A

The worry individuals feel when they do not know what is going to happen with regard to an
experience they’re having. This is usually caused by humans’ biological tendency to remember
a bad experience more prominently than a good one, as remembering and sharing news of the
negative can protect ourselves and others from experiencing it.

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19
Q

experience champion

A

Individuals we engage with who inform us of experience sentiment within their department/entity.

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20
Q

experience data streams

A

A series of four data streams, two as outputs and two as outcomes, representing the typical
experience indicators that provide a contextual picture of experience.

Operation Data
Technical Data

Experience Data
Behavioural Data

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21
Q

experience economy

A

An economic phase that businesses enter where time spent, or experiences, with the business
becomes the most valued aspect.

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22
Q

experience ecosystem

A

A system or network of interconnecting and interacting entities, brought together to define,
manage, and enhance experience.

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23
Q

experience governance

A

The activities undertaken to evaluate findings on experience management, such as experience
findings and ambition successes, and decide upon next actions if necessary.

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24
Q

experience hygiene factors

A

Core factors relating to experience that is expected from the business; for example, cleanliness in
a hotel visit.

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25
experience improvements
The decisions taken after the evaluation stage of experience governance that aim to improve experience and increase the success of experience management, based on data retrieval and analysis taken place before.
26
experience landscape
An overarching view of experience within an organization/department/entity taking into account readiness, capability, technology and experience now.
27
experience level agreement (XLA)
A commitment to creating a defined experience, measured with experience indicators.
28
experience management office (XMO)
A team who, with the appropriate skills, will communicate, implement, and manage XLAs. An XMO has a structure of missions set around different scopes and roles, all to manage the change and actions that come with experience management.
29
experience now
The current picture of experience that your customers and/or employees are having at that moment, generated by the aggregation of various sources of experience data.
30
experience now data categorization
A process that involves categorizing data points into relevant themes for improvement. These themes will go on to influence the experience ambitions.
31
experience relief
A state of calm that comes with the knowledge that an experience is being resolved.
32
experience technology
Technology that assists in the management of experience. This can range from tools to measure T data to tools that make the management of O data, or the gathering of X data, more streamlined
33
experience triangle
A concept expressing the importance of looking at multiple data sources to get a contextual picture of experience as opposed to one source.
34
experience vision
A term that encompasses the scope of the experience project, values, aims and objectives, and return on investment, defined around what the customer/employee will expect from the experience
35
extending
A strategy whereby technology suppliers use sentiment data to increase the value of their core product for customers.
36
future value
An economic value that focuses on delivering experiences that enable protection and improvement of the future value of the product/service.
37
governance
A component that makes up the Embrace phase of the experience optimization framework. Governance asks how well are we doing, and what decisions need to be made?
38
gravity of average performance
The concept that the performance of something will decay over time as people adapt to it. What this means with regard to experience is that good experience will gradually become the norm and expectations of what a good experience is will rise, making previously good experience now average.
39
individual experience measurements
A concept that follows the thinking of collective experience measurements, but to understand how individuals may react to experience and designing unique experience measures for them. This is often challenging to decipher, as each individual is unique and will react or feel differently in a certain situation. Therefore, attempting to understand the individual experience is something that comes with maturity after establishing the collective.
40
influencers
People who have power to deliver and affect experience success through authority, knowledge, or position.
41
Internal company to outsourcer XLA
This is a type of XLA where the company wishing to improve experience for its employees will design an XLA that it wants to incorporate into the contract between it and its outsourcer. In other words, an XLA designed by a company, carried out by an outsourcer to support the company’s employee/customer experience.
42
internal XLA
Probably the most common type of XLA, internal XLAs are those that an organization will design and implement to manage the experience of its own internal employees.
43
joint commitment
The idea that, in the case of XLAs being put in place between organization and outsourcer, all parties need to commit to delivering the same experience ambitions.
44
Likert scales and scoring
Likert scales are a scoring mechanism where the respondent is invited to answer a question using a number scale, representing a series of attitudes ranging from one extreme attitude to another
45
lime effect/dashboard
A situation where the SLAs and KPIs of a service, and technical measures, are shown as positive (green) and overall sentiment is also positive.
46
moments over time
A collection of transactions that comprise an experience
47
money value of time
A key part of the experience economy, this refers to the value placed on time, affecting the organizations and entities that customers and employees choose to interact with. If the experience with organization isn’t deemed as a valuable expenditure of time, the person may choose another
48
moonshot thinking
Pursuing goals that seem impossible unless by means of a radical solution. When applied to experience, moonshot thinking encourages us to let go of our mental constraints to satisfy unmet needs.
49
operational indicators (O data)
Refers to the SLAs and KPIs of services that can be used to provide context to sentiment. O data is a controllable experience indicator.
50
outsourcing XLAs
XLAs that outsourcers will design. They are based on the services that they can offer to customers as an advantage over other service providers
51
productivity value
An economic value that differs from efficiency by being concerned around doing more with the same resources rather than the same with less.
52
project XLAs
Refers to when experience and experience management become governing factors in organizational projects. A project may measure time, cost, and internal view of quality. Integrating experience into this also encourages the measurement of achieving the business outcome, whether employees are having a better experience, and how the experience was while the project was being carried out
53
psycho-logic
Where psychology is used to manipulate experience anticipation, thereby changing perception to resolve an otherwise unresolvable problem.
54
range of valid experiences
The acceptable range of experiences based on the needs surrounding those experiences; for example, an employee receiving a work laptop that is ‘good enough’ rather than having everything they wanted is a valid experience based on their needs.
55
readiness
The state to which an organization is prepared to commence an experience management project.
56
red pepper effect/dashboard
A situation where the SLAs and KPIs, technical measures, and sentiment are all showing negative (red) sentiment. In other words, all experience indicators point to negative.
57
reverse watermelon effect/dashboard
A situation where the SLAs and KPIs of a service, and technical measures, are showing poor results (red) but the overall sentiment towards the service is positive (green).
58
sentiment indicators (X data)
Refers to the experience (X) data that helps us to understand how people feel. This kind of data is usually gathered and represented as survey responses.
59
sentiment surveys
A survey designed to gather the views held towards something; in our case a service or product, by those interacting with and utilizing it.
60
service level agreement (SLA)
An agreement that defines what the IT service provider and the customer should expect when contracting for a service.
61
service management office (SMO)
The service edition of the XMO, the SMO is the model of reporting SLA and KPI performance.
62
staged experience
An experience that we design to meet customer/employee expectations. We create a staged experience to show what an experience could eventually become and determine whether it is desired or can become a desired experience.
63
stakeholders
Those that strategize, consume, control, reward, and judge experience.
64
statistical science
A science that is focused on the collection, analysis and interpretation of data. With regard to experience, this science assists experience professionals in generating facts from the sentimentbased data they will gather.
65
technical indicators (T data)
Refers to measures from technical tools; for example, those measuring digital employee experience or device health, that can be used to provide context to sentiment. T data is a controllable experience indicator.
66
watermelon effect
A situation where SLA and KPI, and technical measures, show performance as positive (green) but the sentiment towards the experience indicators is negative (red).
67
XLA Stack™
A visual representation of an XLA, displaying the link between an experience ambition, sentiment indicators, and operational and technical indicators.
68
XLA washing
A form of marketing and PR that aims to persuade the buyer that an organization’s products and services enable XLAs. This translates to situations where some ITSM tools claim to also be experience tools but where, in actuality, experience makes up a relatively small part of their product/service