Welcoming the Season of Better Data

Spring doesn’t arrive with a single event. It reveals itself gradually—through softer mornings, longer light, and a sense of the world transitioning. These quiet signals offer a surprisingly fitting metaphor for how we approach data quality: not as a one-time task, but as a steady progression built on observation, alignment, and consistency.

Small Signs, Big Meaning

Just as the early hints of spring tell us the season is moving in the right direction, our initial data checks help confirm that everything is on track. These early validations might be simple, but they give us the first indication of overall health.

A few examples of these early “seasonal cues” in data include:

• Basic record checks to ensure nothing major is missing

• Format and structure validation to catch early mismatches

• Quick scans for obvious anomalies before digging deeper

Small steps, big clarity.

Noticing What Doesn’t Fit

During seasonal changes, irregular days stand out—a sudden chilly morning, an unexpected warm streak. In data, irregularities play the same role. They catch our attention and guide us toward areas that need review.

Common “out‑of‑season” data signals include:

• Sudden spikes or dips in values

• Missing fields where completeness is expected

• Patterns that drift away from their usual behavior

These aren’t just disruptions—they’re indicators.

Steady Patterns Build Trust

Spring becomes believable when its signals align consistently. Likewise, data becomes trustworthy when its checks reinforce one another over time.

When patterns settle and validations pass smoothly, we gain confidence that everything is ready to move forward—whether that means analysis, reporting, or decision-making.

The Takeaway

Spring teaches us that reliability comes from small, repeated confirmations. Data quality follows the same rhythm: steady checks, clear signals, and alignment that builds confidence.

Quality isn’t a single checkpoint. It’s a season of transition—supported by subtle cues that show everything is moving in the right direction.

Why “Chicken Math” Matters for Marketing Researchers

Most backyard chicken keepers begin with a modest plan: three hens, maybe four. It sounds reasonable, manageable, and perfectly aligned with their expectations. Yet within months, that tidy plan often unravels. A few appealing additions, a neighbor’s extra bird, a new breed that’s “too interesting to pass up”—and suddenly the flock is far larger than originally intended.

This lighthearted phenomenon, known as chicken math, is more than a rural anecdote. It captures a pattern that marketing researchers confront every day: consumer behavior expands in ways that stated intent rarely predicts. And understanding that expansion is essential for accurate forecasting and strategic decision‑making.

The Predictable Gap Between Intent and Behavior

Chicken math illustrates a familiar research challenge: people routinely underestimate their future engagement. Survey responses reflect what consumers believe they will do—often conservative, rational, and contained. Real behavior, however, tends to grow once consumers enter a category. For researchers, this gap is not a surprise; it is a recurring, measurable trend that must be accounted for in any robust model.

Post‑Adoption Acceleration

Initial adoption is rarely the end point. It is the beginning of a curve. Whether it’s a first purchase, a trial subscription, or an introductory offer, early participation often leads to increased usage and incremental spending. Chicken math provides a simple metaphor for this acceleration: once the first few hens arrive, the flock expands. In market research, this pattern appears across industries and demographics.

Identity as a Driver of Growth

One of the strongest predictors of long‑term engagement is identity formation. When consumers begin to see themselves as part of a category—“I’m a runner,” “I’m a home chef,” “I’m a DIY person”—their purchasing behavior scales accordingly. Chicken math mirrors this shift. Once someone identifies as a chicken keeper, the flock grows not by accident, but by alignment with a new sense of self.

The Influence of Community

Social reinforcement plays a significant role in shaping behavior. Communities, whether online or offline, encourage deeper participation. Recommendations, shared experiences, and group norms accelerate adoption and increase category depth. Chicken math captures this dynamic in a simple way: chicken owners encourage each other’s expansions. For researchers, these peer effects are essential inputs for understanding real‑world growth.

Non‑Linear Growth in Real‑World Data

The central lesson of chicken math is that behavior rarely scales in a straight line. Emotional drivers, identity shifts, and social influence all contribute to outcomes that exceed early predictions. Effective market research anticipates this non‑linearity, integrating behavioral data and contextual factors rather than relying solely on stated intent.

Closing Thoughts

Chicken math may be a humorous concept, but its implications for marketing research are serious - take it from a marketing researcher and real-life chicken farmer. It reminds us that consumer behavior is dynamic, expanding, and often underestimated at the outset. By recognizing the forces that drive this growth—emotion, identity, and community—researchers can build more accurate forecasts and more resilient strategies.

Reclaiming What Matters Most

February has a way of sneaking up on us.

The calendar still says “new year,” but the energy we felt in January can feel quieter now. The resolutions we set with optimism may be wobbling. The goals we were so sure about are competing with real life, real pressure, and very real fatigue. And that’s okay.

This February, the most meaningful thing you can share isn’t chocolates or flowers - it’s permission to:

• Pause

• Reassess

• Reclaim what actually matters most

That question what matters most can feel surprisingly complicated. Early in the year, we’re often surrounded by “what ifs,” expectations, and the internal pressure to do more, be more, achieve more. We push ourselves forward without always stopping to ask whether the direction still fits the season we’re in.

You’re not alone in that struggle. The people around you -friends, family, colleagues are fighting invisible battles of their own. Depending on the season of life, priorities can look very different:

1. Some are ready to ramp up, chase growth, and lean into new opportunities

2. Others are quietly seeking ways to slow down, protect their time, and reset

What is worth reconsidering is postponing happiness. Too often, we tell ourselves joy can wait until the next milestone, the next promotion, the next chapter. But clarity comes when we define what happiness looks like now. That definition helps guide decisions through life’s inevitable turns, stops, and detours.

At Sparks Research, we spend our days helping organizations ask better questions of their customers, their markets, and themselves. That same mindset applies personally. When we replace assumptions with understanding, we gain insight that leads to better choices in business and in life.

As the year continues, our hope for you is simple:

• Stay grounded in what matters most to you

• Let your goals align with your current season

• Move forward with intention, not pressure

Whether this year is about acceleration or balance, growth or clarity, we wish you progress that feels meaningful - not rushed.

Cheers to moving forward with purpose.

Your Mission (Should You Choose to Accept It)

Every Mission Impossible assignment starts the same way: a clear objective and the right team. Business isn’t much different-and neither is winning in the playoffs.

Teams that make it to the Super Bowl don’t win on talent alone. They win because everyone knows the game plan, their role, and how to execute together.

A unified mission answers three questions:

• What are we trying to achieve?

• Why does it matter?

• How will we work together to win?

It’s not a slogan—it’s the playbook that aligns people with different roles, perspectives, and strengths around a shared goal.

The best teams don’t succeed despite their differences - they succeed because of them. Like a championship roster with quarterbacks, linemen, and receivers, great organizations thrive when diverse perspectives come together. That’s when teams unlock:

• Smarter play calls

• Faster adjustments

• Stronger teamwork

• Better results

Unity doesn’t mean everyone runs the same route - it means everyone is committed to the same outcome, even if they take different paths to get there.

As the year kicks off, here’s our game plan:

• Get clear on the goal

• Value what each teammate brings

• Move forward together

 “Great leaders align diverse talent—and turn a clear mission into business victories.”

MISSION SET. TEAM READY. CALL THE PLAYS. SCORE THE WIN!

Avoid a Grinch-Style Research Disaster

Not just during the holidays, but year-round, businesses face shrinking budgets, shifting priorities, and the temptation to cut corners on marketing research “just this once.”

And suddenly you’re thinking:

1. “Maybe we can do this research ourselves.”

2. “It can’t be that hard, right?”

3. “Even the Grinch figured things out on his own!”

DIY Research Gone Wrong: Lessons from the Grinch

The Grinch thought he had all the answers. His “research process” went something like this:

1. Make assumptions

2. Make more assumptions

3. Act on assumptions

4. Be shocked when everything was wrong

Why Guesswork Steals Your Budget

Guesswork costs:

1. Time

2. Misaligned campaigns

3. Misread audiences

4. Missed opportunities

5. Extra workload for your already overextended team

6. Reduced staff productivity

The Solution

1. Professional research doesn’t drain your budget — it protects it.

2. Guesswork is the real budget stealer.

Grinch Spoiler Alert

His hypothesis — that stealing Christmas would stop all the noise, celebration, and joy:

1. Was based on zero data

2. Zero insights, and

3. Zero real understanding of his audience
   

This season and into the new year, let’s do less guessing and more knowing.

6 ways Exercise Can Make You a Better Coworker, Teammate, and Leader

We all know exercise is good for our physical health—but its benefits go far beyond building muscles or improving endurance. Regular physical activity can transform the way you work, collaborate, and lead. From boosting mood to sharpening focus, exercise has a surprising impact on your professional life. Here’s how staying active can make you a better coworker, teammate, and leader.

1. Boosts Mental Clarity and Focus

Exercise increases blood flow and oxygen to the brain, which improves cognitive function, memory, and problem-solving. For coworkers, this means:

• Making fewer mistakes.

• Processing information more efficiently.

• Being present and attentive during meetings.

When your mind is sharp, you contribute more effectively to discussions, decisions, and problem-solving efforts.

2. Enhances Emotional Intelligence

Regular exercise isn’t just physical—it’s mental and emotional. Activities like running, yoga, or team sports can help reduce stress, regulate emotions, and improve patience. This translates to the workplace as:

• Better conflict resolution skills.

• Improved empathy for coworkers’ challenges.

• A calmer, more positive presence in high-pressure situations.

Being in control of your emotions allows you to respond thoughtfully rather than react impulsively, strengthening relationships with your team.

3. Improves Energy and Productivity

Physical activity boosts endorphins and energy levels. When you have more energy, you can:

• Handle demanding projects without burnout.

• Stay engaged during long meetings or collaborative sessions.

• Support colleagues when workloads increase.

A teammate who brings consistent energy lifts the entire team’s performance.

4. Strengthens Teamwork Skills

Group workouts or sports can teach lessons that translate directly to the workplace:

• Communication: Coordinating in team sports or fitness classes enhances clarity and listening skills.

• Trust: Relying on teammates in a workout setting builds confidence in collaboration.

• Resilience: Pushing through challenging exercises develops grit and perseverance, which can be applied to team projects.

Exercise becomes a subtle training ground for collaboration, teaching you to support, motivate, and rely on others.

5. Sets a Positive Example as a Leader

Leaders who prioritize fitness send a powerful message: they value self-care, balance, and well-being. This encourages team members to:

• Adopt healthier habits themselves.

• Recognize the importance of work-life balance.

• Respect leaders who demonstrate discipline and consistency.

Your commitment to exercise can inspire your team, foster respect, and build a culture of accountability and well-being.

6. Reduces Stress and Improves Adaptability

Exercise is a natural stress reliever, lowering cortisol levels and improving mood. Stress management translates to leadership by helping you:

• Make calm, strategic decisions under pressure.

• Adapt quickly to changing circumstances.

• Maintain a positive attitude, even when challenges arise.

A leader who manages stress effectively becomes a stabilizing force for the entire team.

Conclusion

Exercise isn’t just about personal health—it’s a tool for professional growth. By staying active, you sharpen your mind, regulate your emotions, increase energy, and strengthen collaboration skills. Whether you’re a coworker, teammate, or leader, the benefits of regular physical activity ripple across your work environment, helping you become more effective, supportive, and inspiring.

So next time you lace up your sneakers, remember: you’re not just improving your health—you’re improving your team.

Enjoy your Workout!

Happy Holidays To All!

Happy holidays to all!

As we here at Sparks Research begin to reflect on 2024, we are thankful that our existing relationships continue to grow, and that our new relationships allow us to grow. 

We are blessed with friends and family like you. 

All of us here at Sparks Research extend our very heartfelt gratitude as we venture into 2025!

May God continue to bless you and your families.
 
Cheers!
The Sparks Team

Thomas Bayes - Presbyterian Minister, Philosopher, Statistician?

I have a buddy that has one child – a son – with a unique, yet familiar name. His son’s name is Bayes. At the time my buddy and his wife named him Bayes and ascribed it to his birth certificate, social security number…and pretty soon after, 529 plan, he then became the sole proprietor of the first name Bayes. I guess that makes his mother and my buddy original. Weird, too, I guess, but who asked you, anyway?

They could be original, weird, or it could mean that not enough people know about the legend of Thomas Bayes, and how a paper he wrote (An essay towards solving a problem in the doctrine of chances) and the discovery of said paper by good friend Richard Price two years after Bayes died, and later was greatly extended by the genius mathematician Pierre Simon Laplace, how would we ever have the advances we have in medicine, evolutionary biology, environmental biology, manufacturing, criminology, and the hundreds of other applied applications.

If you are one of my graduate students currently or wear Nirvana shirts and have never even listened to Nirvana, you likely never had to deal with the spam epidemic. When I was in undergrad, it was out of control. To the point where checking email was a complete waste. Then came the Bayesian Spam Filter.

How does a Bayesian Spam Filter work? I am so glad you asked!

So any spam filter these days applies from millions and millions of observations of email messages. These messages were coded as Spam or Safe. Once these email observations were coded, we could then go back and run some models to identify what content is more likely to be indicative of Spam (using an Explanatory Model, of course!). But, do you and I, who check our email between one and three-hundred eighty times a day care? No, we just want the model to choose the best predictor, and give me a reasonable probability or odds that an email coming through my mailbox is legit or otherwise.

Allow me to try to offer a simple breakdown of Bayes Rule.

So why did I name my son Bayes, you might be asking. Well, let me first explain to you how Bayes Rule works in simplistic terms.

First, we need an event. Let’s say the event we are considering is whether or not our favorite football team will win their game this weekend. That’s our event, and what we have in this event is a level of uncertainty, because there are multiple things that could happen. Your team could win, could lose, the game could be postponed, forfeited, etc.

Second, we need a probability target. This is called a prior, or prior probability. It is also often the same as the term base rate. We could scour the web for all types of places to get a proper estimate. Odds makers will set their thoughts based on stringent criteria. Or you could be a typical fan and look at how your team has fared so far this season, how your team has performed against the other team in other years, look at the rosters and the like and come up with the chances you think your team will win.

Let’s say, for hypothetical purposes, you give your team a 75% chance of winning, which converts to 3:1 odds (75%/(1-75%) = 3).

Great. So the coin is tossed, your team wins the toss. Your team elects to kick. The other team picks an arbitrary side to start from which is virtually meaningless and would be better switched for what food should be served after the event.

So your team kicks. The opponent rumbles the kickoff to their own 40. OK, not ideal, but let’s GO DEFENSE. First and 10. The opponent completes a pass for 30 yards, now to your thirty. Then two long runs and your opponent is first and goal. WHAT ARE WE DOING! You are probably yelling. Two plays later, the team punches it in for six. Makes the extra point. 7-0 Bad Guys.

It’s OK. It’s fine. It’s just one drive. We get the ball, and it’s our turn.

The Bad Guys kickoff to the Good Guys. The returner for the Good Guys fumbles the football! HOW DO YOU FUMBLE THE BALL ON YOUR OWN 24 YARD LINE! Not good….Not good.

But it’s OK. This is how defenses build character, right? Until three plays later and the Bad Guys score AGAIN! As the ball sails through the uprights, it is now 14-0 Bad Guys with only two minutes into the first quarter.

Ouch. You still feeling good on that 75% change guess? What about when your quarterback drives the ball to the 50, then throws an interception, and the Bad Guys return it for a touchdown. A PICK SIX! SERIOUSLY!

For what it is worth, if you ever watch any level of football, this is how Game Probabilities work. With every play, the inflection changes. The score remains the same but the clock is winding down, and it’s going to favor the winner more so than it did two minutes ago. A 14-0 game goes to 14-14, we are going to see the GP come close to even.

All of this discussion about football gets us closer to closing out Bayes Rule. The third thing we need is a new observation. Or even set of observations. It might confirm the probability target, or completely speak against it. Regardless, this is important, because once the calculation comes out of Bayes Rule, we get a more realistic probability that your target will occur.

Because out of the Bayes Rule calculation, which takes your initial event, your probability target, and new observation, and generates that more realistic outcome, often referred to as posterior probability.

Bayes Rule - probability and conditional probability

So let’s first go through some examples of how Bayes Rule works. One of the most commonly used examples is the probability estimate that someone has a certain disease given a positive test.

Let’s call this hypothetical disease QC Disease, QC, of course, standing for Qualitative Chemistry. Those diagnosed with QC Disease are trapped forever in a career in Qualitative Chemistry.

So, let’s say your cousin goes in for a routine check-up, and the doctor says, there is a new disease floating around and it is simply awful. It’s called….QUALITATIVE CHEMISTRY DISEASE! Your cousin gasps. No, no way will I have QC Disease!

So the doc puts your cousin through this battery of tests, putting those weird colored molecular models in front of them, checking cognitive logic for dots behind letters connected to other letters with or without dots, etc. It’s a grueling process, but worth it to discover that she, does not in fact, have QC Disease.

Your cousin is back in the waiting room. Knees buckled, mind racing, heart pounding, ears thrashing. I can’t be a qualitative chemist! I just can’t be!

Then the nurse calls her back. The doctor is waiting in Room 2. He doesn’t look happy. So your cousin says, “just give it to me straight, doc.”

The doc leans in, face white. That’s when your cousin knows. I can’t believe it. I am going to be a qualitative chemist.

The doctor confirms. The test came up positive for QT Disease. NOOOOOOOOOOOOOOOOOOOOOOO!

After an hour of slow-mo reactions of the five stages of grief. The head shaking NO, IT CAN’T BE of denial. Then the anger, turned to rage, at which point the doctors are considering the tranq, But thankfully, the cousin has given into the bargaining before sinking deeply into depression. As the doc returns, acceptance sets in. This is a part of my life now. This IS my life now!

Until she remembers something that you told her. That beautiful something is called the base rate. “Doc, how prominent is QC disease?” she asks.

“QC only affects about 1% of the entire population,” the doc returns.

Then the other thing you told your cousin about something seemingly random but was highly relevant now. “Doc, how often are these tests wrong?” she asks. As in, what is the false positive rate, meaning the percentage of when the test said you have the disease when it was, in fact, wrong!

The doc consults his notes. Turns out, 5% of those that tested positive did not have QC disease.

Your cousin smiles now, asking the next question. “Well, what about the people that don’t have the disease? How many test positive?” The true negative rate.

It might seem like the same question, but it is not, but I will get there. So, the doc consults his notes, and he says the rate is 10%.

She rushes out the door to call you. Run some calculations for me. 1% of everyone has QC disease, which means 99% of people don’t. When the test comes up positive, it is wrong 5% of the time. And when the test is conducted, it comes up wrong 10% of the time.

Take note here that we have something very important, and that is the condition, also known as the conditional probability.

So you do some quick math. There are 500,000 people in this town. If 1% have QC disease, that means 5,000 have the disease. Which also means 495,000 don’t.

Now to those that have the disease. 95% of those with the disease test for it. That means 4,750 people in that group.

On the other side, among the 495,000 people who don’t, 10% are going to be told they have it. That’s 49,500 people!

WOW! So only 5,000 people have this ridiculous disease. Yet they are telling nearly 50K people that don’t have it that they do, and are correct on only 4,750!

This is important to consider. First, tests are flawed. They miss on both ends. Second, the false positive end makes this whole thing ridiculous, and really skews this whole thing pretty big time. Not to mention, how could we ignore the base rate, and how rare this thing really is?

So you do the calculation. What are the chances your cousin is doomed to a life of Qualitative Chemistry? Is it 95%, like the test suggested?

No. The answer, according to Bayes Rule, is about 9%. The math goes like this:

• We take those that had the disease conditioned on testing positive, which is 4,750 people. That’s the denominator (the one on top of the division sign).

• Then, we have to add that 4,750 to those that did not have the disease conditioned on testing positive, which is 49,500, and we get 54,450.

• We finish the equation like so: 4,750/(4,750 + 49,500) = ~9%.

Sounds a lot better than 95%, right?

Video Verbatim Comments - Hear and See What Your Audience Thinks!

With Quantitative research, open-ended verbatim response questions have always been a part of the equation.  They can provide additional clarity and dig deeper on larger KPI questions; for example, “Why do you rate your overall satisfaction with your recent hotel stay a 4?” If you are using a 10-point scale, a 4 is probably considered “not that great.” If this was my study, I would love to know a few facts around why the respondent decided to give a rating of 4. Letting the respondent further define their reasoning is very beneficial and will help in the analysis of what drives higher and lower scores, BUT most of all… how to improve as a company/organization.

Technology has advanced in many ways to allow for faster and easier ways to capture feedback. Online survey capabilities have opened up new and exciting ways to go deeper…especially with verbatim comments.  Sure, you can still have open-end text capture in an online survey…. but what if you could allow respondents to freely verbalize their thoughts? And beyond that – what if you could put these comments together (in a video fashion) to help tell that story? It is common for us to watch videos that capture our attention.

Video verbatim feedback, within an online survey, can encourage respondent commentary because they now have the luxury of talking instead of typing. Using the illustration above and the “normal” typing method, a respondent can then type in their reason for a less than satisfactory hotel stay.  “Well, the check-in was slow and the bathroom wasn’t great.” Ok…that helps, and it provides a little clarity around the check-in process and the state of the room, but I would love to know more.  These days, when we type, we truncate and cut down our thoughts.  Hey – long text messages anyone…with my fat fingers they take forever, so I don’t go as in-depth.

Now imagine the ability for your online survey to ask the respondent to click a button and talk freely…just like a selfie video (using their mobile phone or camera on their computer). Guess what typically happens? The length and depth of the feedback is now significantly longer and more descriptive to the tune of 6x given simple word count analysis. Now with video capture ability, the example could look like this, “Well, we were so tired when we checked in and there were so many people that we had to wait and wait and wait. When we were finally greeted the associate had to answer two phone calls! Ugh…the waiting!  We just want to shower off and go to dinner and not stand around. And by the way, don’t get me started on the bathroom. Geez, the shower had no water flow, and the hot water was never hot enough. This was not the perfect way to start my vacation let me tell you!”  We all do this – when given the chance to talk we go on and on – especially if there was something significant.  Sure, there are instances where too much talk may be a bad thing, but I would rather make that decision at the backend. I would rather have it and not need it than need it and not have it. The example above simply showcases what we typically see.

So – what’s next? 

You have video comments now, and how will this help? Don’t worry – you still need to code all comments into themes for quantitative measures like “bathroom dissatisfaction” and “slow
check- in experience.”  But now imagine that you can harness several different respondent videos and splice them together into a Show Reel. You place the reel into your analytic report and boom – you can see and hear how people feel by watching an impactful 40 second video! Remember the check-in process example and the general feeling the respondent had? Now imagine you can hear their voice and watch their face when they speak about this negative experience.

Here is a sample:

That’s All Folks!

In conclusion, business leaders want to understand what drives customer behavior. By offering an easy-to-use method for respondents to elaborate and provide deeper meaning behind how they feel can really impact the storytelling of your data analysis. Videos are compelling. They are tangible and allow us to see and hear how someone really feels.

And oh, by the way – I still don’t understand/get the allure of TikTok’s, but I know that my daughters watch these a lot. I digress!