Category Archives: marketing

Five Keys to Doing Good Secondary Research

Five Keys to Doing Good Secondary Research

GUEST POST from Art Inteligencia

The success of any research project is determined by the quality of the research conducted. Good secondary research is essential for any research project, as it helps to provide background information, develop hypotheses, and identify gaps in knowledge. Here are some key tips to ensure you’re conducting effective secondary research:

1. Identify a clear research question

Before you start any research, it’s important to have a clear understanding of what you’re looking to learn. Having a clear research question will help to guide your research, and ensure that you’re focusing on the right sources.

2. Choose reliable sources

The quality of your research is only as good as the sources you use. When conducting secondary research, it’s important to use reliable sources such as peer-reviewed journals, government documents, and scholarly books.

3. Consider credibility

As well as using reliable sources, it’s important to consider the credibility of the authors you’re citing. Are they experts in the field? Do they have any biases or conflicts of interest that could affect the quality of their research?

4. Analyze data and trends

Secondary research is all about analyzing existing data and identifying trends. It’s important to assess the data critically, and look for patterns, correlations, and inconsistencies.

5. Draw conclusions

Once you’ve collected and analyzed the data, it’s time to draw conclusions. Make sure to consider all of the evidence you’ve gathered, and draw conclusions that are supported by the data.

By following these tips, you can ensure that your secondary research is of the highest quality. Good secondary research is essential for any research project, and following these key tips will help you to ensure that your research is successful.

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What is an Online Research Panel?

What is an Online Research Panel?

GUEST POST from Art Inteligencia

An online research panel is an online platform that is used to collect data from a specific group of people. This data can be used to gain insights into consumer behavior, market trends, and other types of research. It can be used to gain insights into a variety of topics, such as consumer preferences, product development, and marketing strategies.

While online research panels can be used to gather data from a variety of sources, they are typically used to gather data from a specific group of people. This group is often made up of a panel of individuals who are chosen based on their demographic characteristics, such as age, gender, location, and education level.

Once the panel of individuals has been selected, they are asked to participate in a variety of research activities. These activities can include surveys, interviews, focus groups, and other forms of data collection. This data is then used to gain insights into consumer behavior, market trends, and other research topics.

Online research panels provide a variety of benefits to researchers. First, they can allow researchers to collect data from a large pool of people quickly and easily. This is because the data collection process is automated, which saves the researchers time and effort. Additionally, online research panels can allow researchers to gain access to a wide variety of data sources, which can provide a more comprehensive view of the research topic.

Finally, online research panels can be used to quickly and easily test hypotheses and gather feedback from a variety of sources. This can help researchers develop better insights into their research topic, which can help them make more informed decisions.

Overall, online research panels are a great way for researchers to quickly and easily collect data from a variety of sources. They can provide a comprehensive view of the research topic, allow researchers to quickly and easily test hypotheses, and provide feedback from a variety of sources. For these reasons, online research panels are an invaluable tool for researchers.

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How to Write a Good Market Research Survey

How to Write a Good Market Research Survey

GUEST POST from Art Inteligencia

Market research surveys are one of the most effective ways to gain insights into the needs, wants and opinions of your target audience. With the right survey, you can uncover data that can help you make better decisions about product development, marketing campaigns and more. But what makes a good market research survey? Here are a few tips to help you create a survey that yields actionable data.

1. Identify Your Goals

Before you start creating questions for your survey, take a step back and identify the goals of the survey. What do you hope to learn or uncover? By taking the time to identify your goals, you’ll be better able to craft questions that are on-point and will yield useful data.

2. Write Clear, Concise Questions

When writing questions for your survey, make sure they are clear, concise and easy to understand. Avoid double-barreled questions, which ask two questions at once, and complex questions that require a lot of thought to answer. Aim to make the survey as easy to take as possible.

3. Include Open-Ended Questions

While closed-ended questions are good for gathering quantitative data, open-ended questions can be useful for gathering qualitative insights. Consider including some open-ended questions in your survey to get a better understanding of how people feel about your product or service.

4. Keep the Survey Short

Surveys should be as short as possible to increase the response rate. Aim for no more than 10-15 questions. Also, make sure the survey can be completed in 10 minutes or less.

5. Test Your Survey

Before you launch your survey, make sure to test it with a few people first. Ask them to take the survey and see if any of the questions are confusing or unclear. Make any necessary changes based on their feedback.

By following these tips, you’ll be able to create a market research survey that yields meaningful insights that can help you make better decisions.

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How to Construct a Good Focus Group

How to Construct a Good Focus Group

GUEST POST from Art Inteligencia

Focus groups are a great way to gain insights into a target audience and get valuable feedback on products and services. Constructing a good focus group can be a challenging task, but it is worth the effort.

1. Identify Your Target Audience

Before you start, you need to identify who your target audience is and who you are looking to reach with your focus group. Consider the demographics, psychographics, and interests of your target audience.

2. Choose Your Venue

Choose a venue that is both convenient and comfortable. Make sure the room is large enough to accommodate the group size and that it has the necessary equipment such as chairs and a whiteboard.

3. Recruit Your Participants

Recruit your participants based on who best represents your target audience. Reach out to individuals through social media, email, or by word of mouth. Consider offering incentives for participating, such as a gift card or free product.

4. Prepare Your Facilitator

Choose a skilled facilitator who is familiar with the topics that are being discussed and who is able to lead the group in an open and respectful manner.

5. Choose Your Questions

Design questions that are focused, open-ended, and relevant to the topics at hand. Avoid questions that have a single right answer as they tend to limit the discussion.

6. Stick to the Agenda

Set a timeline for the focus group and make sure to stick to it. If a conversation drifts off-topic, gently guide the conversation back to the focus of the group.

7. Record Responses

Record the responses of the participants, either by taking notes or using a recording device. This will help you to track and analyze the data that is gathered.

By following these steps, you can construct a successful focus group that will give you valuable insights into your target audience. Good luck!

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What is Qualitative Research?

What is Qualitative Research?

GUEST POST from Art Inteligencia

Qualitative research is a type of research that deals with the collection and analysis of non-numeric data. This type of research is used to explore and understand the experiences, beliefs, and motivations of individuals or groups. Qualitative research is often used to gain insights into social, cultural, and even political phenomena.

Qualitative research is used to explore a variety of topics, including culture, values, beliefs, and behavior. By using qualitative methods, researchers can capture the complexity of human experience. For example, qualitative research can be used to investigate how people make decisions, what motivates them, and how they interact with their environment. Qualitative research can also be used to uncover deeper insights into how people think, feel, and behave.

Qualitative research can take many forms, including interviews, focus groups, and observational studies. Each of these techniques has its own strengths and weaknesses, but all involve collecting and analyzing data from participants. Interviews involve asking questions and gathering responses from participants, while focus groups involve gathering a group of people together to discuss a particular topic. Observational studies involve observing participants in their natural environment.

Qualitative research is an important tool for gaining insights into social and cultural phenomena. By using qualitative methods, researchers can capture the complexity of human experience, which is often difficult to measure using quantitative methods. Qualitative research is also useful for exploring emerging trends and developing new theories. Ultimately, qualitative research enables researchers to gain deeper insights into their topic of interest.

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Designing for the Extremes, Benefiting the Middle

The “Dark Horse” Customer

LAST UPDATED: December 25, 2025 at 10:59AM

Designing for the Extremes, Benefiting the Middle

GUEST POST from Chateau G Pato

Organizations often say they are customer-centric, yet their design decisions quietly optimize for convenience, averages, and assumptions. The result is a polished experience that works well until reality intervenes.

Human-centered design reaches its full power when teams stop designing for the mythical “average” user and start learning from the edges. The Dark Horse customer — underestimated, inconvenient, or misunderstood — holds the key to building experiences that scale under real-world conditions.

“When a system works for people under stress, constraint, or uncertainty, it doesn’t just survive the real world — it earns trust in it.”

Braden Kelley

Why Extremes Predict the Future

Extreme users are not anomalies; they are early signals. Aging populations, increasing cognitive load, language diversity, and economic pressure all push more people toward what was once considered the edge.

Designing for extremes today is how organizations stay relevant tomorrow.

The Hidden Cost of Designing for the Average

Average-based design creates fragile systems. When stress increases — time pressure, emotional intensity, technical failure — these systems collapse.

Dark Horse customers experience these breakdowns first, but never last.

A Practical Framework for Designing at the Edges

1. Seek Out Struggle

Do not recruit only confident or successful users. Study frustration, confusion, and improvisation.

2. Design for Recovery

Extreme users make mistakes under pressure. Systems that allow easy recovery benefit everyone.

3. Reduce Cognitive Load

Clarity is the ultimate inclusive design strategy. If the experience works for someone overwhelmed, it will work for anyone.

Case Study 1: Healthcare Appointment Systems

A healthcare provider redesigned appointment scheduling after observing patients managing chronic illness and limited digital skills.

By reducing steps, clarifying language, and confirming understanding, the system improved no-show rates and satisfaction across the entire patient population.

Case Study 2: E-Commerce Under Time Pressure

An e-commerce company studied last-minute shoppers during high-stress periods. These users abandoned carts due to unclear delivery expectations and complex checkout flows.

Simplifying choices and emphasizing reassurance increased conversion rates not only during peak times, but year-round.

Designing for Dignity

At its core, designing for the Dark Horse customer is about dignity. It acknowledges that people are human, not idealized users with unlimited time, focus, or confidence.

This mindset shift transforms inclusion from a compliance exercise into a competitive advantage.

The Middle Benefits the Most

When organizations design for extremes, the middle experiences ease, clarity, and confidence without realizing why.

That invisibility is the mark of great design.

Frequently Asked Questions

FAQ

Are Dark Horse customers rare?
No. Most people become extreme users under certain conditions.

Is this the same as inclusive design?
Inclusive design is a result; designing for extremes is a method.

Where should teams start?
Start where customers struggle the most.

Extra Extra: Because innovation is all about change, Braden Kelley’s human-centered change methodology and tools are the best way to plan and execute the changes necessary to support your innovation and transformation efforts — all while literally getting everyone all on the same page for change. Find out more about the methodology and tools, including the book Charting Change by following the link. Be sure and download the TEN FREE TOOLS while you’re here.

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The Art of Watching What People Do, Not What They Say

Observational Research

LAST UPDATED: December 16, 2025 at 3:10PM

The Art of Watching What People Do, Not What They Say

GUEST POST from Chateau G Pato

In the quest for true innovation, most organizations fall prey to one fatal flaw: they rely too heavily on explicit feedback. They ask customers, “What do you want?” or “What would you pay?” The result is incremental change, not disruption. The truth is that people are often terrible predictors of their future behavior and frequently rationalize their current habits. If Henry Ford had only asked customers what they wanted, they would have requested a faster, more comfortable horse. The key to discovering latent needs — the unmet desires people don’t even know they have—lies in the deliberate practice of Observational Research.

Observational research, or ethnography, is the bedrock of Human-Centered Innovation. It requires innovators to step out of the boardroom and into the context of the user’s real life, watching them interact with products, processes, and environments. This discipline is essential because it allows us to identify the workarounds, friction points, and gaps that people endure but never articulate. We must unlearn the reliance on surveys and focus groups and embrace the art of the silent witness.

The Three-Step Framework for Observational Insight

Effective observation is not passive looking; it is structured, intentional work built around three core questions:

1. Watch for the Workarounds

A workaround is the user’s innovation—a creative, often frustrating, solution they implement when a product or process fails them. These are not flaws in the user; they are flaws in the design. Watching a warehouse worker bypass a safety protocol to save 30 seconds, or seeing an employee email a critical file instead of using the complex mandated CRM system, reveals deep systemic pain. The workaround identifies a true point of friction and points directly to the highest-value innovation opportunity.

2. Identify the Unspoken “Jobs to Be Done”

The “Jobs to Be Done” framework, popularized by Clayton Christensen, suggests people don’t buy products; they hire them to perform a specific job. Observation helps us understand the true job. A person buying a drill isn’t hiring it for the drill itself; they are hiring it to create a hole. But why do they need the hole? Maybe it’s to hang a family photo. The job is creating memories or status, not drilling. Observation helps us move beyond the functional job to the deeper emotional and social job.

3. Look for Environmental and Emotional Triggers

Context is everything. We must observe the environment — the lighting, the noise level, the interruptions — and the emotional state — frustration, confusion, momentary relief — of the user as they perform a task. If a user only uses a service when they are stressed and under a tight deadline, the innovation must prioritize speed and cognitive ease, regardless of their stated preferences in a calm interview setting. Observing the emotional cycle provides the empathy needed for human-centered design.

Case Study 1: The Kitchen Counter Conundrum

Challenge: Designing a Better Home Organization System

A major home goods retailer (“HomeLife”) consistently received high survey scores for their kitchen storage products, yet sales growth was stagnant. Focus groups praised the products’ features, but the underlying customer behavior was still chaotic. They wanted to understand why customers consistently failed to maintain a tidy kitchen.

Observational Intervention: Deep Contextual Inquiry

A small ethnographic team spent a week observing five families in their homes, focusing on the five minutes after they arrived home and the five minutes before leaving. They watched not just the kitchen, but the landing strip — the kitchen counter and adjacent areas.

  • Observation: They saw that every family member, without exception, dropped keys, mail, phones, and wallets directly onto the counter as the default transition point. The existing organization products were in cabinets, requiring effort and a conscious choice to use them.
  • Unspoken Need: The job to be done was not “storage” but “frictionless triage” — a system that managed immediate incoming clutter at the point of entry.

The Innovation Impact:

HomeLife stopped innovating inside the cabinets. They created a new line of “Landing Zone” organizers — attractive, open-faced trays and charging stations designed to live permanently on the counter, managing the immediate daily dump. This product line became their fastest-growing category, proving that solving the observed habit was more powerful than meeting the stated desire for more efficient hidden storage.

Case Study 2: Re-engineering the Healthcare Workflow

Challenge: High Administrative Error Rates in Patient Intake

A large hospital system (“HealthPath”) faced continuous, costly errors during patient intake. Nurses and administrators complained in interviews that the software was slow and complex, leading the IT department to recommend a costly software overhaul.

Observational Intervention: Silent Shadowing

A Human-Centered Innovation team chose to silently shadow nurses and intake staff for full shifts, documenting every mouse click, every sigh, and every manual note taken outside the system. They were looking for the workarounds.

  • Observation: The team discovered that the nurses rarely used the “slow and complex” patient history tabs during intake. Instead, they quickly printed the old, paper patient history forms, scribbled updates by hand during the interview, and only entered the minimum required data into the new software hours later.
  • The Friction: The real bottleneck wasn’t the software speed; it was the nurses’ need for quick, physical access to cross-reference data while simultaneously making eye contact with the patient. The software forced sequential digital entry, which contradicted the natural conversational flow.

The Innovation Impact:

HealthPath avoided the expensive software replacement. Instead, they implemented a cheap, innovative solution: the software was updated to include a “Quick View” contextual panel that displayed the most recent four critical patient history points on a separate, simplified screen. This allowed nurses to maintain flow and quickly verify key facts. The error rate dropped by 28% in three months, proving that human-centered observation leads to surgical, low-cost solutions, not just massive overhauls.

Conclusion: The Observational Mandate

The innovation mandate in the 21st century is clear: stop interviewing for validation and start observing for revelation. Observational research is your empathy engine. It forces you to move beyond the clean, rational world people describe in an interview and into the messy, emotional reality of their daily struggles. By systematically looking for workarounds, unspoken jobs, and environmental triggers, you shift your entire organization from merely responding to complaints to proactively solving the invisible problems of your users. This is the difference between incremental improvement and Human-Centered Disruption. The greatest insights are rarely spoken; they are shown.

“If you truly want to understand why people don’t use your solution, you must watch them live without it.” — Braden Kelley

Frequently Asked Questions About Observational Research

1. What is the key difference between observational research and an interview?

An interview captures what people say they do, often filtered by memory, social desirability, or self-rationalization. Observational research captures what people actually do in their natural context, revealing unconscious habits, workarounds, and friction points that are rarely articulated.

2. What is “latent need” and how does observation help find it?

A latent need is an unmet desire or problem that a user is not aware of or has simply learned to live with. Observation finds it by highlighting the user’s constant frustration or workaround, which they have normalized. The innovator sees the workaround and realizes the latent need is a superior, non-existent solution.

3. What is the biggest bias to avoid during observational research?

The biggest bias to avoid is the confirmation bias — seeing only what confirms your existing hypothesis about the problem. A good observer must practice suspending judgment and documenting everything, even behaviors that seem unrelated or counter-intuitive, to ensure the discovery of a truly novel insight.

Your first step into observational research: Take one hour next week to silently observe an employee or a customer interacting with your most critical process. Do not speak. Simply document every point where they pause, sigh, or deviate from the intended path. Use those observations, not their stated problems, to define your next innovation project.

Extra Extra: Because innovation is all about change, Braden Kelley’s human-centered change methodology and tools are the best way to plan and execute the changes necessary to support your innovation and transformation efforts — all while literally getting everyone all on the same page for change. Find out more about the methodology and tools, including the book Charting Change by following the link. Be sure and download the TEN FREE TOOLS while you’re here.

Image credit: Pixabay

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What is Quantitative Research?

What is Quantitative Research?

GUEST POST from Art Inteligencia

Quantitative research is a type of research that focuses on the collection and analysis of numerical data. It is used to assess relationships between variables, measure changes over time, and develop predictive models. Quantitative research is often used to generate statistically significant results, which can help inform decisions and guide strategies for businesses, organizations, and governments.

Quantitative research typically involves collecting large amounts of data from a variety of sources and then analyzing it using tools such as surveys, interviews, focus groups, and experiments. The data is then analyzed using statistical methods to measure relationships between variables and assess trends.

Quantitative research is often used to answer questions such as “What is the average age of customers in my store?” or “What percentage of my customers are female?” It can also be used to measure the effectiveness of marketing campaigns or to predict the success of a new product.

Quantitative research is an invaluable tool for understanding and predicting human behavior. By collecting and analyzing large amounts of data, researchers can gain insights into trends and relationships that would otherwise remain hidden. The results of quantitative research can help organizations make better decisions and develop more effective strategies.

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Genius of Rewarding Customers for Eating Other People’s Pizza

Genius of Rewarding Customers for Eating Other People's Pizza

Dominos is riding the creativity train yet again, with their latest creative marketing idea.

Following on the heels of Dominos Hotspots and Dominos Zero Click Ordering, they now have come up with a great idea for getting people to download their app onto their phones and to ultimately order their pizza.

When it comes to ordering pizza, the phone is on its way to being replaced by the app. But which app?

When ordering pizza by phone at least you could still use the same phone, but just dial a different number if you wanted to order a different pizza.

But if you want to order a different pizza using an app you have to download and install and configure a completely different app. NOT as easy switching to a different pizza place when ordering by phone. So, if an app helps to lock people into reordering pizza from you instead of trying the pizza from some other pie place, what do you have to do?

You HAVE to get people to not only download your app and install it, but you’ve got to get them to start using it.

A lot of places try to overcome this inertia by offering a discount on the first order made using the app, but this isn’t always a strong enough incentive.

Domino’s solution to this problem?

What if we rewarded people just for eating pizza, even if it’s not ours?

Sounds crazy, right?

Well, that’s exactly what they’ve done with their latest Points for Pies promotion. Now, if you download the Dominos Pizza app onto your phone AND join their rewards program AND take a picture of any pizza once a week for six weeks using the app you’ll earn enough points to get a free medium two-topping pizza. But, to add a sense of urgency, you must earn your 60 points before the 100 million points run out, which probably works out to about 2-3 million people participating before the points run out.

Supposedly the app uses artificial intelligence to detect pizza in the photo, but I have a sneaking suspicion it will give you points for taking a picture of just about anything. I don’t eat Dominos Pizza, so let me if you can take a picture of anything funny and still get your points. 😉

So, what do you think? Will this promotion drive app downloads, and more importantly, rewards program signups and app usage and pizza purchases?


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Accelerate Your 2018 Commitments and Start the Year Strong

Accelerate Your 2018 Commitments and Start the Year Strong

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