Automated Customer Surveys
Technology from Database Systems Corp. lets you develop IVR survey applications using our interactive voice response IVR solutions. Surveys can be initiated by outbound phone calls or can be a response to callers. Using our PACER and WIZARD phone systems with the Smart Message Dialer and survey software, we can call your survey prospects and play a highly focused and custom greeting. We then can give your survey audience the option to take your survey or even talk with a representative, leave a voice message, hear additional information, or simply decline to participate in the survey. The survey can accept touchphone response or can record each question response for later analysis.
To view more information regarding our automated phone applications, please visit our Automatic Phone Survey solution web page.
The following is an article relating to automated survey techniques and products and services in our business.
A Guide To Good Survey Design
Ron Garland, Market Research Consultant
93 Churchill Avenue
Palmerston North
With due acknowledgement to: Wellington City Council Strategic Planning & Policy Unit, Paper No. 16: A Guide to Good Survey Design
Prepared for the Public Libraries Special Interest Group of the Libraries and Information Association of Aotearoa New Zealand
INTRODUCTION
1.
Why Conduct a Survey?
Librarians,
like any other managers of organisations serving the public, need objective
feedback from the users (and sometimes the non-users) of their library. Such
survey information helps you plan ahead, helps you monitor the impact of various
changes you might have made, gives you users' insights into the way the library
works, gives objective feedback on performance etc. and may even be part of
the accountability measures that have been written into local government plans.
2.
What is the Surveys
Purpose?
The first thing you need to
do is clarify exactly why the survey is being carried out. You need to decide what information you want
to collect, who from and how it will be used.
Once you have done this the design of the survey will flow logically.
You may need to contract
some parts of the survey to outside contractors or even everything to an
outside agency. Contracting out survey
work is desirable if you do not have the skills, staff, or time to do the
survey in-house. Contracting out survey
work is useful if you need to demonstrate that the results are objective and
unbiased by management.
On the other hand if you do
the survey in-house you will develop valuable survey skills which you can use
again. Also, in-house surveys generally
cost less than ones that are contracted out.
Even if you think you will contract out the survey you still need to
have a good idea of what you want from it.
It is always beneficial to carry out your own preliminary research (by
talking to a number of people, including potential respondents) even if you do
intend to brief a contractor. These
guidelines will give you some basic knowledge about what to expect from a
survey.
3.
Who to Survey?
You need to be able to
describe who it is you want to survey, often called the target group. Your target group could be all members of
the general public in your library's catchment area or all adults in that region
or all frequent users (say at least monthly) of the library or non-users of the
library etc.
Now you have to decide
whether you want to interview all members of your target group (a census) or a
random sample of them. If your target
group is small it may be possible to survey everyone, however if your target
group is large you may need to survey a sample of people. A sample is just a smaller number of
representative people selected from the whole target group. For example if you wanted to know the views
of all residents (library users and non-users), it would be more efficient to
interview a sample of residents, than to interview everyone.
To make sure that the sample
is representative of the target group you will need to select the respondents
in a random or systematic way. This
means that everyone in the target group has an equal chance of being
selected. This can be done in a number
of ways. For example if you are
interviewing users through the door then once you have finished interviewing
one person you should approach the next person who passes you. If you are doing a telephone interview or a
mail out, the address should be selected in a random way- you may also need to
decide who you will interview in a chosen household. Will it be the adult (person 16 years or over) whose birthday
falls next? This is a common way of
randomly selecting a household member.
You should never allow respondents to select themselves, for example by
leaving the questionnaires in a pile for people to pick up if they want
to. Nor should you let interviewers
choose who they want to interview.
Choosing samples requires
skill and systematic thinking. For
instance surveying users "through the door" requires knowledge of
volumes of users day by day, by hour of the day/night etc. In these circumstances quota sampling may be
best. This means that if visits during
high use times comprise 70% of all visits, then 70% of the sample should be
drawn from this high-use group. If 20%
of visits occur at a specialist library, separate from the main location, 20% of
the sample should be from that venue.
The essential point is to discuss your sample design with an experienced
person.
4.
How to Survey
The way you choose to
administer the survey will depend on the type of information that you need,
your budget and time frame. Surveys may
be carried out in three ways, through a personal interview, a telephone
interview or through self-completion.
Combinations of these three methods are common too. For example you may select users at a venue,
gain their co-operation and then have them fill out surveys at home and post
them back to you.
4.1 Personal interview
Personal interviews allow quite complex questions to
be addressed. They allow the
interviewer and the respondent to interact and exchange detailed
information. Personal interviews are
good for sensitive issues, and for lengthy questionnaires. They are also good for interviewing a
geographically centralised group of people.
The generally accepted maximum length for a personal interview by
appointment is one hour. Interviews
where the respondent is intercepted at a venue (eg the library) should be kept
short, with a maximum length of about ten minutes but preferably five
minutes. With the resources involved,
personal interviews are the most expensive method.
4.2 Telephone
Telephone interviews need to
involve a more structured exchange of information than personal
interviews. They are good for
interviewing a geographically dispersed group of people. The generally accepted maximum length of a
telephone interview is relatively brief (20 minutes). They are considerably less expensive to administer than personal
interviews. Telephone surveys take less
time to administer than either mail or personal surveys. They are generally not used for sensitive
types of questions (for obvious reasons).
One common overseas
criticism of the telephone interview is that low-income households may be
under-represented in the sample. This
is because some low-income households do not have telephones. However, in New Zealand most areas have at
least 90% household ownership of telephones with some areas as high as
97%. What you must ensure is that
numbers that have no one at home on the first call are phoned again and again
until contact is made with that household.
Otherwise your final sample of people will have too many 'stay-at-homes'
in it and their use of libraries may well be different from 'harder-to-contact'
people. Similarly telephone
interviewing ought to be done during the late afternoon and in the evenings to
try and get people when they are at home.
Galling though it may be for respondents to receive a phone call from a
telephone interviewer in the middle of the evening meal or their favourite
television programme, in the interests of achieving sample purity from telephone
interviewing, this is unavoidable.
4.3 Self Completion
You may decide to ask the
respondents to complete their own questionnaire. This method is attractive to many managers because it is the
cheapest method of interviewing. It can
provide a good range of views from existing customers. However, this method is not ideal if you
want to interview a random sample of residents as a whole. This method can also suffer from a relatively
low response rate, which can limit the accuracy of the results. When this method is used inappropriately the
results can be easily discredited.
5.
How Many People Should
You Survey?
You will need to decide how
many people you want to survey. This is
a balance between the cost, the time and the accuracy of the survey. For example if a large sample is surveyed
then the cost will be high, but the results will be more accurate than for a
smaller sample.
In all surveys there is the
chance that there will be a difference between the results of the sample of
people surveyed and the results that would have been gained if everyone in the
target population had been surveyed.
The degree of error can be calculated, and is outlined in the chart
below. The chart shows figures at a 95%
confidence level. That is we are
confident that 19 times out of 20 the results will fall within the following
margins of error.
Maximum Margin of Error
|
For example if you randomly
surveyed 50 users of the library you would have a 13.9% margin of error. This means that if 50% of the sample of
users said that they wanted more crime fiction this could mean anything from
37% to 63% people of the total target population had this opinion. However if you randomly surveyed 750 users
of the library you would only have a 3.6% margin of error. This means that if 50% of the sample
wanted more crime fiction this would mean anything from 46% to 54% of people
in the total population (in your library's area) hold this view.
|
Sample size
|
% Margin of error
|
50
|
13.9
|
100
|
9.8
|
150
|
8.0
|
200
|
6.9
|
300
|
5.7
|
400
|
4.9
|
500
|
4.4
|
750
|
3.6
|
1000
|
3.1
|
1250
|
2.8
|
1500
|
2.5
|
2000
|
2.2
|
The chance of error increases as
the sample size decreases. However note
that doubling the sample size does not reduce the margin for error by half (but
only one quarter). Very small sample sizes should be treated cautiously. However it is important to note that a
smaller well conducted sample survey can be better than a large, badly
conducted one.
The chance of error also
increases as the results are more balanced.
For example if you survey 50 users of the library and found that 95% of
respondents thought the crime fiction collection was of a very good standard,
the margin of error on that result would be only 6%. On the other hand if 50%
of the respondents thought that the crime fiction collection was of a very good
standard the margin of error would be 13.9%. Since we cannot predict the
results of a survey, it is best to estimate the margin of error based on a
result of 50% (as shown in the above table).
The amount of error that can
be tolerated depends on how the survey results will be used. For example if the survey is going to be
carried out regularly to monitor changes in opinion, then it is important that
the margin of error is small so that the change in results is an accurate
reflection of reality. On the other
hand if the results are going to be used as a general indication of strength of
opinion on an issue, and only dramatic results will be used, then a higher
margin of error may be tolerated. In
general, however, samples of less than 150 are too small.
You may want to compare the
views of one sub-group of your sample to those of another sub-group. If you depend on random selection you may
end up with a very small number of people in the subgroup, and consequently an
unacceptable margin of error. This
problem often occurs when analysing figures for ethnic minorities. For example Maori people make up about 4% to
20% of the population depending on where in New Zealand you live. If 1000 people were interviewed we would
expect to obtain only 40-200 interviews with Maori people. The margin of error for the sample as a
whole would be 3. 1% while the margin for the Maori sample would be much
higher. In order to compensate for this
you can treat Maori as a separate sample.
This means you can interview a greater number of this group, and get
more accurate results to analyze separately.
Be careful how you do this; make sure that you get help from someone
skilled in weighing data.
6.
What is Non-Response?
You will find that not
everyone who you want to interview will respond. This may be because they are not home, too busy, or do not
understand the language of the questionnaire, or are simply not interested. It is important to minimise non-response to
make sure that the results of the survey are truly random. This is because the opinion of those who
reply may well differ from the opinions of those who do not reply. This would mean that the survey results
would not be representative.
It is crucial that you do
all you can to reduce non-response. You
should always assure the person of the confidentiality of their views. The questionnaire should also be as brief and
easy to understand as possible. For
phone or personal interviews you can call the person back, or arrange a more
suitable time to interview them. You
may want to offer a small incentive to people to reply, such as a voucher for a
free coffee. You should also make sure
that the language of the questionnaire can be understood by respondents. For mail out questionnaires you should write
a good covering letter and provide a reply paid envelope. It is important to send out reminder letters
to the non-respondents, and include another copy of the questionnaire.
7.
Where to Survey?
If you are interviewing in
person you will need to consider where your survey will be carried out. This is dependent on the survey method that
you have chosen. You may wish to interview
the customers as they come through the door, or you may wish to make appointments
to see them. If you want to carry out a
user survey for a facility then it makes sense to interview users as they enter
or leave the building. Alternatively if
you want to survey non-users then you will need to select them in another
location, obviously by another means.
8.
When to Survey?
You will need to decide when
you will run the survey. This will take
into consideration the season, day and time that the survey fieldwork will be
carried out. This will have an impact
on the type of people you interview. It
makes sense to choose interview times when the most people that you want to
interview will be available. For
example if the survey aims to find out what children think of the library, then
it could be carried out in the school holidays. (But be careful about
interviewing children. You really need
parental consent or in loco parentis' from a school, so interviewing children
about the library may best be done through the schools).
9.
How Long Will the
Survey Take?
You may want to estimate the
duration of the survey so you can meet your deadlines. The duration of the survey depends on how
long it will take to get the number of responses that are required and to
analyze the results. This is determined
by the survey method, the response rate and the resources devoted to the
survey. You can calculate the duration
of the survey using the following formula:
Estimate
how many surveys could be carried out each day, then divide the total sample
size by the number of surveys per day to get the duration of the survey
fieldwork. For example if the required
survey sample is 300, and it is estimated that 10 interviews will be carried
out each day, then the survey fieldwork should take 30 working days to complete. Then estimate the number of days it will
take to analyze and write up the results, and add this to the total.
Note that conducting a
survey from beginning to end takes a market research company between six and
eight weeks for a small (say 250) face-to-face interview project You should allow
plenty of time; it is unlikely that you could complete a survey of this
magnitude in-house in under ten weeks.
10.Privacy Act 1993
You need to be aware of the
implications of the Privacy Act 1993 for your survey work. If you want to identify an individual
respondent in your research you must ask their permission. If you want to contact a respondent again in
the future you should ask their permission at the first contact. If you intend to interview children (under
16 years) by telephone, or in the home you will need to gain the permission of
their parent/guardian. Interviews with
children at a venue (i.e. the library) in some circumstances can be carried out
with the permission of the child her/himself.
However note that the interviews would need to be conducted in a very
public place so that interviewers cannot be suspected of any misadventure. Apart from these provisions the Act does not
restrict research as long as it is used for statistical or research purposes
and you are not trying to "make a sale".
11.Who Did You Survey?
You will need to include
questions about the characteristics of the respondents. This information is useful for management
purposes. For example the results may
show that older people are less likely to use the library, while school aged
people are the highest user group (illustration only). Management may want to
make changes to the service in response to this information. Even if you do not think you will need this
type of analysis, the information needs to be collected so you can show that
the survey sample is representative of the target population.
The following questions
should be included at the end of the questionnaire. The categories outlined below are the minimum; they can be
expanded if more detailed information is needed.
Age
|
|
Ethnicity
|
15-19 years
|
|
|
European/Pakeha
|
|
20-29 years
|
|
|
Maori
|
|
30-39 years
|
|
|
Pacific Island
|
|
40-49 years
|
|
|
Other
|
|
50-59 years
|
|
|
|
60-64 years
|
|
|
Gross Household Income
|
65 years or older
|
|
|
Less than $15,000
|
|
|
|
|
$15,000 - $29,999
|
|
Sex
|
|
$30,000 - $49,999
|
|
Male
|
|
|
$50,000 $69,999
|
|
Female
|
|
|
$70,000 or more
|
|
12.How to Design the Questionnaire
You will need to decide on
the aim of the survey, and the design of the sample before you attempt to
design the survey questionnaire.
Designing a questionnaire is not an easy task. It requires you to express your questions in a way that is easily
understood. The quality of the
questionnaire will determine the quality of information that the survey results
will provide. This section provides a
guide to things you will need to consider when designing your questionnaire.
· Traps to Avoid
Questions need to be simple
and easy to understand otherwise errors can occur. If a question is interpreted in different ways by different
respondents or the question is too difficult then you will get misleading
results. Try to use everyday
conversational language, and avoid technical or industry terms. It is important to make sure that the
questions are free from bias and they flow logically. The layout of the questionnaire should be clear and easy to
follow.
· Open-Ended Questions
The first type of interview
questions that you will want to consider is "open-ended". These questions arc exploratory, and can
provide new insights into an issue. They
are used to get a wide range, and reasonable depth of opinion.
For example:
What
do you like about your local library?
.
If the survey is carried out
on the telephone or in person then the interviewer can probe the respondent for
clarification:
What
do you like about your local library?
.
What
do you mean by being convenient?
..
.
.
Open-ended questions also
allow you to use a general probe for more information:
What
do you like about your local library?
.
What
else do you like about it?
..
.
.
· Close-Ended Questions
The second kind of interview
questions you will want to consider are "close ended". They require the answer to fit into
pre-determined categories. Close-ended
questions arc useful for numerical analysis.
It is often helpful to undertake some "pre-research" to help
frame your questions and your categories.
Close-ended questions can be
used to help identify whether it is appropriate to ask another question.
For example:
Did you visit your local
library in the last month?
|
Yes
|
|
|
No
|
|
|
(If yes, ask.)
The last time you went
there which of the following sections did you visit?
Fiction
Biography
NZ collection
Large print
etc
|
Close-ended questions can
also lead-in to an open-ended question.
For example:
Did you visit your local
library in the last month?
|
Yes
|
|
|
No
|
|
|
(If no, ask.)
For what reasons did you
not visit the library?
|
Close-ended questions can
indicate the range of opinion on a subjective statement.
For example:
What is your opinion about
the following statement?
the local
library does an excellent job
|
Strongly
Agree
|
|
|
Agree
|
|
|
Neither
Agree nor Disagree
|
|
|
Disagree
|
|
|
Strongly
Disagree
|
|
|
Dont
Know
|
|
|
Things to remember about
closed questions:
· Include a "don't
know" category where relevant (except in self completion surveys).
· Include an "other'
category, and provide an opportunity for explanation.
· Make sure that the options
that are presented do not overlap (that is, they are mutually exclusive). For example the following options enable
respondents who visited four times to select both the third and fourth
categories.
How many times have you
visited the library in the past three months?
|
Never
|
|
|
Once or twice
|
|
|
Three or four times
|
|
|
Four times or more
|
|
|
Dont know
|
|
|
This is a bad question.
13.Is This a Good Survey?
· How to Review the Survey
You will need to test the
survey with users to make sure that it is all in order. It will save a lot of time and money if you
identify any problem with the questionnaire or method before the survey itself
is carried out.
The questionnaire should be
reviewed three times. It is useful to
get colleagues to do the survey in the first instance to identify any
weaknesses. For each question it is
useful to ask:
Will this question provide
information that you need?
Are respondents likely to be
willing and able to answer this question?
Is there any way that this
question can be made easier for respondents to understand?
The second review should be
done by people who are like the respondents.
This can involve getting people to answer the questionnaire while a
researcher looks on, observing any difficulty that the respondents have with
the questions. An alternative approach
is for the researcher to go over the completed questionnaire and discuss any
obvious errors with the respondents.
The third review should be a
full pilot for the survey to ensure that it runs smoothly. A pilot survey is a dress rehearsal. You have the opportunity to test the whole
survey process to ensure there are no problems, get an estimate of the time the
questionnaire takes, and test instructions.
Typically pilots are conducted with five to ten respondents.
14.Keeping Records
· Recording the Survey Method
When you report the results
of the survey you should outline the survey method you have used in detail so
that anyone reading the report can understand it. This should include details about the design of the sample: that
is whom you surveyed, how you surveyed them, and when and where they were
surveyed. If the survey is carried out
again in future years the same method should be used, so that the results can
be legitimately compared year to year.
It is also important to state the margin of error for the survey
results, so that the reader can see whether the results are significant or not
(see section 5 How many people should you survey?).
You will also need to
include in your report the following details on the response rate:
a. The target sample size
b. The total number contacted
c. The total number of actual respondents
The response rate is the
percentage of the target sample size who became respondents. This can be calculated by dividing the total
number of respondents by the target sample size, and multiplying that by 100.
· Recording the Survey Results
You will need to consider
how the survey results will be recorded at the time that you design the
survey. As discussed above questions
fall into two categories, open-ended and close-ended questions. Close-ended questions already have codes
which relate to the defined categories.
Open-ended questions will need to be recorded and coded later. You will need to develop a system for
counting the numbers of responses in each category.
15.What Do the Results Mean?
Your decision about which
results to analyze and how to analyze them will be determined by the objectives
of your survey. There are many ways to
interpret survey results. In most cases
you will find that a relatively basic analysis can provide you with the
information that you will need. A
simple way of analysing survey results is outlined below.
· How to Analyze the Results
The most common way to
analyze survey results is to count the number of responses for each variable,
and express this number as a percentage of the total sample. The table below
shows fictitious ratings of satisfaction with a local library
Fictitious Ratings of
Local Library
|
Satisfaction
|
Number
|
Percentage
|
Very good
|
39
|
4%
|
Good
|
218
|
22%
|
Adequate
|
415
|
41%
|
Poor
|
277
|
28%
|
Very poor
|
42
|
4%
|
Dont know
|
10
|
1%
|
|
|
|
Total
|
1001
|
100%
|
The crucial results here are
that the library is perceived as performing rather poorly or at best.
adequately by the majority of patrons.
Just under half (41%) have chosen "adequate" while just over
one quarter (28%) have selected "poor". "Good" or better is the view of only one quarter (4%
+22%).
Now it would be beneficial
to explore these results further. Who
exactly is disenchanted with the Library - is it everyone equally or (for
instance) are there differences by gender, by age, by frequency of library use
etc?
Fictitious Ratings of
Local Library
|
|
Men
|
Women
|
Satisfaction
|
Number
|
Percentage
|
Number
|
Percentage
|
Very good
|
21
|
5
|
18
|
3
|
Good
|
116
|
26
|
102
|
18
|
Adequate
|
186
|
42
|
229
|
41
|
Poor
|
104
|
23
|
173
|
31
|
Very poor
|
14
|
3
|
28
|
5
|
Dont know
|
2
|
0
|
8
|
1
|
|
|
|
|
|
Total
|
443
|
100
|
558
|
100
|
In the analysis shown here,
36% of women thought the library was performing poorly or very poorly compared
to 26% of men. Using the error margin
details discussed above (section 5), you can see that a 10 percent point
difference between these two groups, with sample sizes of 443(men) and 558
(women), will yield a statistically significant result. That is, the 10 percentage point difference
is not due to chance but due to some real difference in perception of
performance. Conversely, 31% of men and
2 1% of women thought that the local library's performance was "good"
or "very good" - as the above discussion shows, this percentage difference
is real rather than just the result of a small sample or chance.
16.Using the Results
· Management Decision Making
The main point of carrying
out a survey is to gain objective information from users (and sometimes
non-users) about the library's priorities, services and facilities. It is crucial that the survey results are
taken seriously by management, and used to guide future decisions. When analysis of a survey is carried out it
is important to sit down and consider any recommendations for action that arise
from the results. For example if you
find out that residents are not aware of your service then you should propose
options to management for improvements.
These could include a proposed marketing campaign targeted at those
groups of residents with low awareness.
In addition to this,
relevant Council Committee should also receive a report on the results of the
survey. This will keep Councillors up
to date with the latest information about the library.
· Communicating the Results
It is important to make sure
that the results of the survey are made available to anyone who is
interested. You may particularly want
to inform respondents about the results, as one way of acknowledging their
input. For example you could put up the
results on the notice board of relevant libraries. If the results are particularly interesting you may want to work
with management to write a press release for local newspapers.
|