How to use data collection tools for market research
How to use data
collection tools for market research?
Data
collection tools have changed the way market research is done. They have turned
data collection and analysis into a smart process that improves the business
outcomes. Gone are the times when organizations used to make strategies based
on assumptions, instincts, and possibilities. Today, they cannot afford to make
a mistake or miss a chance and let the competitor win. Business leaders and
analysts rely on data to drive growth and revenue.
Data collection tools help to understand
employees and customers better by collecting their feedback, opinion, and
choices. They can help to improve their experience by meeting their
expectations from your products and services. To achieve this, it is necessary
that the data is rich enough to be able to extract meaningful insights from it.
This will help you for better market segmentation practices.
Types of data collection tools
The success of market research depends
on the accuracy of the data collected. However, it doesn’t end here. It is
important to analyze this data such that the management executives can make
sense out of it.
There are multiple data collection tools
available in the market. Choosing the right one depends on your requirements.
Some of the most commonly used data collection methods are
·
Interviews
Interviews are a data collection method
by which one person asks a series of questions to another who is part of the
target audience. The one-to-one interview can be conducted in-person or over
the phone call. The answers are recorded and analyzed to understand their
behavior, choices, and experiences. An interview gives high quality of data as
the respondent is less likely to give false responses when facing someone
directly. The limitation of this mode of collecting data is that it is not
feasible for large scale data collection. Also, it is time-consuming to
interview many people on a one-to-one basis. Interviews are most appropriate
when the subject is complex or sensitive.
·
Observation
Observation is a data collection
technique in which the target audience is given the problem statement and their
responses are noted with minimum interference of any moderator. While the
respondent is busy thinking about answering the questions, their body language,
mannerisms, facial expressions, voice tone, etc. are noted. These non-verbal
signs are an important input for making decisions. The best thing about this
method is that it requires less preparation on the researcher’s part. The
downside is that the respondents might get conscious of themselves if somebody
is constantly observing them. It might even make them feel uncomfortable.
·
Surveys
Surveys are a list of questions designed
in such a way that they touch upon various features of products and services.
Based on the data collected, various analytical algorithms are run and reports
are generated. Surveys are conducted through online data collection tools by which the survey
questions can be distributed through email, website, mobile app, QR code or
social media platforms. These data-gathering tools have the ability to generate
various reports such as Trend Analysis, Data Segmentation, Correlation
Analysis, Conjoint Analysis, etc. Often in large enterprises, multiple teams
use the reports and so, need to be shared with many people. This creates a need
to export the reports in commonly used formats such as .xls, .doc or .pdf.
Moreover, the survey data can be used further by integrating third-party apps
with the survey builder tool. This multiplies the usability of the data
collected and improves ROI.
Survey builder software comes with a lot
of flexibility as the user can select from a variety of question types and add
logic to customize the flow of survey based on the answers given by
respondents. The respondents can answer based on their convenience. In case a
respondent has started the survey but hasn’t finished, the survey administrator
can send scheduled reminders and increase the response rate. Surveys can reach
a vast audience simultaneously and collect a lot of data in lesser time as
compared to other methods.
·
Usage Data
With the growing use of technology, data
is collected at various points from manufacture to delivery. This data can be
used to improve business outcomes. Historical records, application usage data,
sales reports, GPS location coordinates, etc. are some of the examples from
which useful data can be gathered. Such data collection methods can be used when you
want to optimize existing systems instead of creating new ones.
·
Focus Groups
Focus groups are a group of people who
come from various fields of life. They are subjected to a group discussion in
the presence of a moderator. As people come from different backgrounds, it leads
to exploring various angles of thoughts. It is believed that diversity in
thoughts leads to innovation. Focus groups help stakeholders to validate the
facts on the spot and collect a diverse set of data. This method of data
collection suffers from the risk of the presence of an over-influential person
in the group. The moderator must be capable of managing the discussion and
balancing the dynamics of the group. Focus groups are apt for beta testing of
newly launched products.
Data collection tools must be selected
based on low barriers to entry, ability to scale and advanced features beyond
basic data collection.
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