Research / Interviewing
Scripts
The purpose of this page is to introduce you
to a few of the types of CFMC Servent Scripts I have written.
Brief overview of my skills
As the advisor, director and consultant script writer it was my duty to perform the following:
·
CFMC scripting
·
Client needs assessment
·
Tabulation needs assessment
·
Data integrity
·
Custom survey design (no prior script or survey to use as template)
·
Client
provided survey design (prior paper/electronic survey to be used)
·
Topline generation
·
Troubleshooting
·
Script testing
·
Pre, Post and production client involvement
·
Stringent quota management
·
Statistical analysis
The following
various research methodologies are examples of those that I have applied
to obtain certain types of results.
Click any of the below links to better
understand the study definitions:
Awareness, Usage and Image Studies
Distributor
Surveys of Brand Movement
Opportunity Assessments
Chain Headquarters Study
Brand share tracking
Market Size Projections
Menu incidence and
price monitor
Forecast
Awareness, Usage and Image Studies
Purpose:
To collect information
from operators on products menu, preparation methods, serving
styles, buying factors, points of difference,
likes/dislikes, distribution source, brand awareness and brand
image.
Research
Methodology:
100 to 500
telephone interviews of 5 to 10 minutes duration using a
structured questionnaire. Sample can
consist of category users or users and non users.
Benefits:
We provide entirely
in-house design, fielding, tabulation and data analysis to
maximize the control of your research process.
Distributor
Surveys of Brand
Movement
Purpose:
Collect
information from distributors in order to provide an objective
measure of competitive brand strengths relative to client
brand.
Research
Methodology:
For a nationally
projectable samples, 500 completions with randomly selected
distributors are required. For a market area canvas,
completions are required with 3 of the 5 leading distributors
in a given market plus half of all remaining distributors.
Measurement Criteria:
1.Rating of brands in
category for attributes such as consistence of quality, depth
of product line, consistence of product availability, demand,
effectiveness of promotions, and product delivery reliability.
2.Product categories sold; brands sold;
types/forms/varieties/flavors/sizes sold; and
case/gallon/pound/dollar volume sold by brand.
3.Operations considerations such as case quantity per slot,
required turns per month per product.
4.Selling considerations such as DSR incentive programs.
5.Concept statement and evaluation, if needed.
Opportunity Assessments
Purpose:
In situations where time
is at a premium, semi-structured ad hoc interviews with
distributors can provide "general direction" information and
"map the terrain"
Research Methodology:
Ten to twenty
distributors are contacted by telephone. Caution is advised
because results are directional in nature and are not
predictable to all distributors.
Benefits:
Quick responce.
Chain Headquarters Study
Purpose:
1.Determine short
and long term opportunities for adding menu items/new
concepts/new equipment.
2.Collect information on strengths/weaknesses of supplier
companies as perceived by operations and merchandising
executives at chain headquarter level.
3.Identify success criteria for new items such as profit
contribution, servings per day, market testing requirements.
Research Methodology:
Mail surveys along with monetary
honorarium followed by telephone survey. Client generally
identifies 50 - 100 chains from which 20 - 40
completed interviews were obtained.
Brand share tracking
Purpose:
To provide manufacturers
with information on market segments that show over time, an
increasing/decreasing tendency to use the
client's or competitors brands.
Research Methodology:
An unaided procedure is
used that calls for operators to verbally indicate the name of
the primary they use.
Features:
For any product
category, brand share trend data can be made available for
twenty-one market segments, nine census regions, plus other
demographic variables.
Advantages:
Information for
some brands is based upon as many as 6800 telephone interviews
conducted over an extensive period. Data is predictable to the
entire foodservice industry, unlike publisher studies which
are conducted over circulation lists.
Market Size Projections
Purpose:
Manufacturers are
fully aware of total pound/gallon/case/volume for their
foodservice brands. Information on the total market, however
is difficult to project
Research Methodology
The method used to
conduct MSP's is identical to methods used successfully for
numerous foodservice manufacturers ranging from avocado to
yogurt. By scripting a direct method that is based
upon information gathered from operators. An essential part of
the method is the weighted projection factor
which is based on the relationship of the universe figures to
the actual sample.
Competitive methods:
Association
studies generally are not supported by more than 30 or 40% of
association members plus some association members have been
known to distort their own reported shipments. Associations
studies are not able to provide volumetric data by market
segment. Comparisons cannot be made between the results
derived from different methodologies.
Benefits:
Of critical
importance is the volume share data by market segment and
region.
Menu
incidence and price monitor
Purpose:
Identify market
segments which are most likely to list various menu items,
servings per week, selling price and form/type of product used
to prepare.
Research Methodology:
Telephone survey of 500
or 1000 foodservice operators
Benefits:
Menu studies conducted
by magazines are close-ended, and list only a few items per
category. As an example, 15 soups may be
listed on a magazine census but in reality there may be 60
soups mentioned or more that are actually menued
Features:
Proprietary and
exclusive use of results. Data projected to total operations
menuing. Includes special analyses on share of total
servings by menu item.
Operator Perception Forecast (OPF)
Purpose:
Provide a basis for
category projections, from 'front line' foodservice product
use experience.
Correlated with our Historical Data Bank answers the
questions "What has happened? What is happening? What will
happen"
Research Methodology:
During the survey
operators are asked, about the their perception if the demand
for a specific category will increase, decrease or stay the
same over the next twelve months and by what percentage.
Benefits:
Past data tells us where
we've been, but not necessarily where we are going. While it
is true that past behavior can be a good predictor of future
performance, past trends don't take into account how operators
perceive future developments. Tracked over time, past trend
data will will be compared to the Operator Perception
Forecast..
|
|
|