Form that is changing:
USA.gov Contact Center Web Chat Customer Satisfaction Survey
3090-0278
Basis for the change:
Remove questions for which analysis has deemed the responses predictable based on responses to other questions.
Fine tune questions in order to improve quality of responses
Description of changes:
STRIKING TWO QUESTIONS BECAUSE RESPONSES ARE PREDICTABLE BASED ON RESPONSES TO OTHER QUESTIONS:
Q4 How
likely are you to use the USA.GOV online chat service again? Please
use a scale from 0 to 10 where 0 is not at all likely and 10 is
extremely likely.
(Please
select one response)
10 Extremely
likely
9
8
7
6
5
4
3
2
1
0 Not
at all likely
(SCREEN
BREAK)
Q5 How
likely is it that you would recommend the USA.GOV online chat service
to a friend or colleague? Please use a scale from 0 to 10 where 0 is
not at all likely and 10 is extremely likely.
(Please
select one response)
10 Extremely
likely
9
8
7
6
5
4
3
2
1
Not
at all likely
ANALYTIC
NOTE: CLIENT USES Q1, Q3, Q4, AND Q5 FOR THEIR INDEX SCORE
****************************************
CHANGE TEXT IN QUESTION TO SPECIFY FOCUS ON AGENT
CURRENT VERSION:
Q2 Why did you provide a rating of (INSERT RATING FROM Q1) for the overall quality of service you received?
PROPOSED NEW VERSION with new text highlighted, bolded, and underlined.
Q10_1 Why did you provide a rating of (INSERT RATING FROM Q10A) for the overall quality of service you received from the Information Specialist?
*********************************************
PROPOSED CHANGE TO WORDING TO BETTER REFLECT ROLE OF AGENT with new text highlighted, bolded, and underlined:
(Please select a single response for each row)
10 Excellent
9
8
7
6
5
4
3
2
1 Poor
a Overall quality of service
b Understanding your question or concern
c Having
the desire to resolve
assist
you with
your question or concern
d Being knowledgeable about what to do
e Removed
f Being courteous
g Removed
h The timeliness of the chat response
PREVIEW OF NEW UPDATED SURVEY
Having
the desire to assist you with your question or problem
from
the Information Specialist?
File Type | application/vnd.openxmlformats-officedocument.wordprocessingml.document |
Author | David Kaufmann |
File Modified | 0000-00-00 |
File Created | 2021-01-15 |