Significance Testing tells
you whether differences between customer segments are random
fluctuations or facts worth paying attention to.
Trend Analysis
tells you
whether changes over time are meaningful.
Key Driver
analysis identifies product and/or service
attributes with maximum impact on overall satisfaction and loyalty outcomes such as
renewal, repurchase, and recommendation. It's based on the
correlation between attributes and outcomes, using linear regression as
the primary statistical tool.
Kano analysis tells you
which attributes are most important for customers who are highly
satisfied vs. those who are highly dissatisfied.
- Basic Factors may be taken for granted and have no
impact if they are generally satisfactory, but have a huge impact if
they are missing or poorly executed. Your credit cards are a good
example. You expect them to work properly, but if you run into a problem
and cannot get it taken care of immediately, you are likely to be
extremely unhappy with your credit card processor.
- Excitement Factors surprise and delight customers,
who may not even
know they want them until they experience them. For example, before HDTV, who knew that we would
find the images on our old television screens dull and fuzzy? The new
clarity introduced by HDTV became an excitement factor. Over time,
though, their status can change. When everyone has HDTV, we'll take it
for granted and it will become a Basic factor. So a year or two from now
if you stay at a hotel that has HDTV, you probably won't even notice,
but if it does not, you'll be asking for a room with a proper
television.
We have developed statistical techniques to identify your company's
Basic and Excitement factors. Contact us to discuss how this type of
research can help you delight your customers and set you apart from
your competitors.
Contact us:
By email:
customers@surveycompany.com with your contact
information and a description of your requirements
Toll free: 877-666-2486
Direct: 1-425-747-4860
Hours: 8 a.m.-4 p.m. Pacific time