Data is the Oxygen to your Success.
Every marketer deserves to have quality market research data for their business planning and decision making.
Put trusted data and insights to work for you and your brand.
For information on planning your next market research study, email Solutions@Insights4Less.com
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Double-Barreled Wines? Love 'em!
Double-Barreled Questions? Hate 'em!
Double-Barreled Wines are aged in oak barrels and then in whisky barrels, providing an extra level of depth and character to the finished wine.
While the double barrel works well for wine, it can ruin the validity of your market research.
Double-barreled questions ask about two or more issues, leaving room for the respondent to provide only one answer.
One example of a double-barreled question is: "Was your service advisor friendly and helpful?
In the case that the service advisor was "friendly" but not 'helpful", then the respondent data is meaningless.
Double-barreled questions may be one of the most common mistakes in survey design. They are also one of the easiest to avoid mistakes in survey design.
Avoiding double-barreled questions is easy.
Typically, a conjunction like the use of the word "and" should be a red flag that you have designed a double-barreled question. When this happens, consider turning your double-barreled question into two separate simple questions.
Get an extra level of depth and character in your next market research study, Email Solutions@Insights4Less.com
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Can you find the problem with this question design?
Imagine you are the shopper using the "self-check-out" lane and did not have any interactions with store employees at check out.
This question forces the respondent to provide an answer to something that there is no valid response.
The solution? A simple "N/A" or "Does not apply" option.
Forcing a respondent to answer every question without an option to skip a response, often leads to junk data.
And worse, business decisions made based on junk data often results in a waste of financial resources.
We would never allow this to happen for any of our clients.
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If you were to see the results of only the first tape measure, you may likely believe the result without question.
What happens when a second measurement enters the picture and provides a different result?
Which do you believe?
Do not take everything you see or hear as the truth. And if it requires complex explanations, doubt some more.
When it comes to your brand health, get accurate measurements with market research tools that are proven to provide trusted results.
For info, email: Solutions@Insights4Less.com
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Be your brand's hero.
Use your tools wisely.
Lean on your partners.
Ask them to dig deep for you.
If they are not digging deep, then it is time to move on.
Get the data, knowledge, and partnership you deserve so you can be the hero you were meant to be.
For info on how to get the market research insights you need, email Solutions@Insights4Less.com
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Make your most meaningful business decisions with the right knowledge.
Tap into a wealth of meaningful insights with trusted market research from Brand Health Gurus.
Because every business leader deserves quality data and insights for business decision making, including you.
Get the knowledge and confidence you want for making business decisions that matter.
Email Solutions@Insights4Less.com for more information about our curated market research solutions.
We provide market research to brands in most industries:
Automotive & Mobility
Consumer & Retail
Airlines & Travel
Restaurant & QSR
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Who doesn't love cute puppy dog faces?
Do you love seeing the same cute puppy dog face every day? Of course you do!
Did you know that by choosing the same cute puppy face, you can create bias and that can be unfair to the other cute puppy dogs?
A bias result can also unknowingly create unfairness for yourself through a lack of quality information and skew your otherwise good judgement.
We know variety is the spice of life and that is also true when it comes to having the right variety of cute puppy dog faces.
Having the right variety is also necessary when designing your sample population in a market research study.
Get your sampling plan wrong and your research results will be anywhere from skewed to worthless.
What is worse is unknowingly getting your sampling plan wrong and then making business decisions based on junk data.
You deserve to have an experienced market research partner on your side.
For information on designing your next market research study, email Solutions@Insights4Less.com
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DIY market research is a great way to save on cost. Design your own survey, find the perfect sample, manage the data, do your own analysis, and tell the story you want to tell.
Of course, you don't already have a full plate of work to get done, so adding on the complexities of a market research study should be easy-peazy, lemon squeezy.
Besides, no pressure that your entire company is counting on you to nail this DIY market research study, right?
What could go wrong?
A little mishap with a poorly designed questionnaire? ...so the team doesn't get the complete story, big deal, right?
Sample that didn't quite reach your desired target audience? ...so the boss doesn't get the true story.
The list of potential pitfalls goes on, but you can make it up with a rock star final report. After all, you have nights and weekends to work on perfecting that analysis.
If your plate is a little full or the thought of facing the challenges of a DIY market research project seems daunting, then you don't have to go it alone.
For your next market research study, let us nail it for you.
For info, email Solutions@Insights4Less.com
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Here is why 600 is an ideal sample size.
n=600 maximizes your Confidence Level, Confidence Interval, and overall investment.
95% is a typical Confidence Level and tells you how sure you can be in the results. You could repeat the research 100 times and arrive at the same result 95% of the time.
Your Confidence Interval (or c.i.) is a "plus-or-minus" figure helping us understand the "Margin of Error" in a result. Using a c.i. of +/- 4% and 65% of your sample responds to a given question, you would know that by sampling the entire population, between 61% (65% - 4%) and 69% (65% + 4%) would answer the same.
Cost-wise, you can achieve savings with a smaller sample size, like n=400, but your c.i. becomes larger (+/- 5%) and less helpful in discerning statistical differences in data.
You can choose a smaller c.i. of +/- 3% however, your sample size needs to increase significantly to n=1,000 and overall costs increase disproportionately.
For example, a full-service study with a cost of $30 per complete provides these options:
n = 400. c.i. +/- 5% Cost $12,000
n = 600. c.i. +/- 4% Cost $18,000
n = 1,000. c.i. +/- 3% Cost $30,000
To improve your c.i. by 1%, your cost nearly doubles!
For more information, Email Solutions@Insights4Less.com
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