Key terms Flashcards
(98 cards)
What is a double-barreled question?
What does it affect?
Validity is lost when your data does not measure what it is meant to measure. A double-barreled question has two elements, so you do not know which element the customer is rating.
These questions make validity weak.
“Are you hungry or thirsty?” and “Do you want coffee and breakfast?”, Both are double-barreled questions
Operational data shows [XXXXXXX]
What happened to the customer
Customer data shows [XXXXXXX]
How customers reacted (to what happend), and we can ask them why
What is validity?
Consistent interpertation without bias
What does it tell you?
The extent to which the results really measure what they are supposed to measure.
**How is it assessed? **
By checking how well the results correspond to established theories and other measures of the same concept.
How does it relate to reliability?
A valid measurement is generally reliable: if a test produces accurate results, they should be reproducible.
What is reliability?
Data is stable if nothing has changed for customers (if you repeat the study you get the same results, if nothing has changed for the customers)
What does it tell you?
The extent to which the results can be reproduced when the research is repeated under the same conditions.
**How is it assessed? **
By checking the consistency of results across time, across different observers, and across parts of the test itself.
How does it relate to validity?
A reliable measurement is not always valid: the results might be reproducible, but they’re not necessarily correct.
What is margin of error?
The margin of error in statistics is the degree of error in results received from random sampling surveys. A higher margin of error in statistics indicates less likelihood of relying on the results of a survey or poll, i.e. the confidence on the results will be lower to represent a population.
The acceptable margin of error usually falls between 4% and 8% at the 95% confidence level.
What is a descriptive data/metric?
Phase of experience: During
Type: Factual
Description: What actually happened? Operational data.
Examples: Call hold time, resolution time
What is a perception data?
Phase of experience: After
Type: Opinion
Description: What customer percieved happened? what the customer says about the experience
Examples: CSAT, CES, NPS
What is an outcome data?
Outcome data is what customers did (buy, rebuy, recommend, etc.), as a result of their perceptions (we can see it).
Phase of experience: After
Type: Factual
Description: What happened as a result? what the customer did as a result of the experience
Examples: Churn Rate, Actual Purchase Made
What is prescriptive analytics?
It informs you how to make it happen. Prescriptive analytics tells you how to make it happen. This is like a doctor’s prescription, telling you how to solve your challenge.
What is key driver analysis
Key drivers are major contributors to customers’ behaviors, and accordingly, to financial growth.
Key driver analysis (KDA) is also known as correlation analysis. It correlates each factor contributing to customer experience versus the loyalty index. CX indexes are connected to financials (likely to rebuy, likely to recommend, overall satisfaction, customer health, customer effort, etc.).
What is leading indicator
Leading indicators are only what you can see before your customers experience it.
leading indicator is what you’re seeing that customers will soon experience. It’s a faulty filter within a process workflow that is causing poor performance to be experienced by customers. It’s the root cause of a “vital few” contributor to a key driver of loyalty.
A CX leading indicator is identified through 5 why’s analysis
[Market share, churn, and shopping carts are visible to you only after customers have behaved a certain way. Since none of these precede customer behavior, they are lagging indicators, not leading indicators.]
What is correlation coefficient
Correlation coefficients show the degree of alignment between customers’ ratings for separate CX factors versus loyalty. It’s most important to work on what’s tied closely to loyalty. So, The best way to identify importance or prioritization is correlation coefficient
What is 5 why’s analysis
5 why’s reveals the ultimate actionable cause of customers’ financial behaviors with your brand: process problem, input problem, and/or engagement problem.
What is stated importance?
Asking respondents to rate the importance of a series of factors on a scale (i.e., aspects of their customer experience). This is a quick and easy way to get a sense of what factors are most and least important to respondents. Respondents tend to exaggerate the importance of factors when directly asked. The answers here reflect what is top-of-mind important. Don’t count on each respondent to take everything into consideration when rating the importance of a factor.
What is derived importance?
Derived importance allows you to tackle the same objective without directly asking the respondents what is important. It starts with respondents providing an overall rating for their: Satisfaction, Likelihood to repurchase, Likelihood to recommend and other similar metrics. Next, respondents rate their satisfaction with a series of factors by the same scale. A correlation analysis is then conducted to identify relationships between the overall satisfaction metric and each individual factor from their experience.
What is confidence interval?
**% Likelihood a data point is accurate. **
1 minus margin of error = Confidence Interval
Confidence interval = the margin of error, or the percentage likelihood that a data point is accurate, or the number of times the data point would be true if you repeat your study 100 times
What is CX vs XM?
CX is what customers experience
XM is what YOU DO to understand and meet customers’ expectations
Who are your customers?
Everyone who has a role in the
(a) decision
and/or
(b) action to get something from you
and/or
(c) use of it
What is defined as poor experience
When the reality is less than the expectations. This is a bran integrity gap
What is defined as good experience
When the reality matches the expectations. This is a bran integrity 1:1 ration - no gaps
Overall purpose of XM
closing overall gaps between reality and expectations in the end to end journey with the brand
what Jobs to be done are?
What a customer is “hiring” the company’s solution to for them
North Star meaning
Basis for every decision and action: why customers are hiring the company’s solution. Jobs to be done should be company’s north star