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How to conduct a journey mapping research project
By E2E Research | December 2, 2021

Journey maps are commonly created in the market and consumer industry to illustrate a set of steps taken to accomplish a goal. Well designed maps help marketers, brand managers, and researchers understand how people perceive and interact with overt and covert stakeholders, products, channels, and services along their way to completing that final goal.

 

Journey maps used to be simple, and the details and processes often seemed obvious. Today, however, with the internet in our pockets providing unlimited opportunities to talk to people around the world, learn about millions of new products and companies, and acquire nearly any product within hours or days of hearing about it, journeys are extremely complex. They’ve evolved from linear 5-step journeys into 30-stage ricocheting piles of spaghetti.

 

As such, it’s important to conduct well-rounded research to ensure erroneous assumptions and misconceptions aren’t included, and to ensure all aspects of the journey, both hidden and obvious, are accounted for.

 

Journey maps are more complicated and more necessary than ever.
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What kinds of journeys can we map?

Nearly any journey wherein people progress through a set of stages, interacting with channels or people, over a short or long time frame to accomplish a goal can be mapped. Here are just a few of the more common journey maps that marketers and brand managers use.

 

  • Customer journeys: How do consumers, or your customers, discover the need for and end up buying a product? Where do they learn about various products, who do they talk to along the way, at what point do they finally buy one and how?
  • Patient journeys: How does a patient or care-giver discover a health issue and follow through to a treatment plan? What was the initial point of discovery, who did they talk to about their concerns at each step, when did they choose a healthcare provider, how did they choose from among the treatment options?
  • Recruitment journeys: How does a person decide to seek employment and follow through until they have settled into a new role? What created the initial interest, where did they turn to for advice about hiring companies, how did they select a best role?
  • Financial journeys: How does a person decide to buy a home and follow through on that major expenditure? What caused the interest in the beginning, where did they go for advice about large loans, and how did they choose a mortgage provider?

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Why create a journey map?

Maps aren’t simply pretty pictures that make great wall posters. In addition to illustrating an entire journey on one convenient page, they serve a number of important purposes.

 

  • Facts over factoids: Assumptions about processes, pain points, strengths, and weaknesses are easily affected by context and perspective. Every brand manager, marketer, researcher, and customer has a different view of the journey which is affected by their role, life experience, and current needs. Data-driven journey maps are simply more accurate and all-encompassing than anecdata-driven journey maps.
  • Resolve issues: By mapping the journey, you’ll be able to identify strengths, weaknesses, and pain points that are negatively impacting people at any stage in the experience. You’ll learn which mobile apps need improved navigation, identify disjointed online and offline experiences that need fixing, and be better able to ensure people receive key messages at critical times via the channel they prefer.
  • Optimize spend: Once you discover which channels people are accessing – or not accessing – during their journey and what the strengths, weaknesses, and pain points of those channels are, you can allocate your spend more wisely. You may discover new channels, realize the need to optimize favorite channels, or decide to eliminate out-of-date channels.
  • Innovate: Journey maps will help you identify gaps in product development or processes that can be solved by creating new tools, products, or services.
  • Plan for the future: When you understand where your business is today, you can plan for tomorrow. Identify which experiences can be enhanced and improved for everyone.
  • Level-setting: When everyone has the same understanding of the journey, it’s easier to ensure that every touch-point meets your high standards and best practices. You’ll be better able to reduce silos and increase efficiencies of functions and tools across the company.
  • Understand personas/segments: Every product or service can be represented by multiple journey maps, each reflecting a unique segment of people. As you understand each segment more precisely, you can improve each experience in a more targeted, relevant way.

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How to conduct a journey mapping research project

Set Clear Goals: The most important component of every research project, including journey mapping research, is to set clear goals and objectives for what you want and need to achieve. In addition to creating the map itself, you will need to specify how you intend to use the map once it’s complete. For example:

 

  • Why do so few people use the mobile app?
  • How can we better serve omnichannel customers?
  • Where are our communication gaps?
  • Why do we lose so many consumers after they call our help-line?

Review Secondary Research: Take the time to review any existing qualitative and quantitative research you may have conducted over the last several years. Though it may not directly focus on the journey experience, there are likely to be important tidbits of knowledge that will help you design your data collection instrument – take note of people, processes, and channels mentioned and ensure they are covered in the new instrument.

 

Detail the Research Questions: As you prepare to build your data collection tool, focus on all aspects of the human experiences – who, what, where, when, why, and how. Let high quality data tell you how many stages there really are rather than trying to fit people into preconceived notions.

 

  • Who: Which personas would benefit the most from journey mapping? Who are the direct and indirect people the consumer could possibly come into contact with? Consider people at the call-center, people answering questions on Twitter, people in finance, operations, and management who may be called in to help with more difficult problems.
  • What: What messages and information people need at each stage? What are their motivations? What are they getting or not getting? What are their pain points and barriers?

  • Where: Where do customers seek information or products? Are they experiencing the journey from home, work, school, or the retail outlets? Are they experiencing it on a mobile device, a desktop computer, or in person?
  • When: Think about how journeys change when they are experienced in the daytime, evening, nighttime, or weekends. Is the journey one day, one week, one month, or one year long?
  • Why: Why did customers start or stop each point in the journey?
  • How: How do customers feel about each point? How do they perceive each stage? What are they thinking and believing? Where is their breaking point or their moment of exhilaration?

Identify the Research Method: Ideally, both qualitative and quantitative research techniques should be used to ensure you capture all potential aspects of the journey. Starting with qualitative techniques allows you to probe deeply and ensure that subsequent quantitative techniques are properly informed.

 

  • In-Depth Interviews: Whether in-person, over the phone, or virtual, personal interviews are the perfect method for diving deep into every single aspect of an individual’s journey. Not only are first hand accounts great at creating empathy among company stakeholders, the ability to probe with multiple “whys” ensures you can dig down to the inner most held beliefs and opinions associated with a behavior.
  • Online Communities: Most journeys last far longer than a few minutes. Buying shampoo could be a ten minute or ten-day journey whereas a house hunting journey could take a year. Online communities are an effective way to bring people together to discuss each other’s unique journeys and discover which steps are common or unique, and why. For consumer goods mapping, you could even ask participants to maintain and share a diary throughout their journey.

  • Observational Research: We all know the saying that actions speak louder than words. That’s why it can be extremely beneficial to include observational research as part of journey mapping research. Most commonly, this research is conducted by researchers quietly observing people as they progress through their journey in retail outlets. However, observations can also be made of digital behaviors after first getting permission to record people’s browser activities.
  • Surveys: Finally, finishing with a quantitative survey will help ensure your final outcome is not only comprehensive, but also reflective of the broader population.  Remember to build surveys that incorporate data quality techniques and include fun question types that help participants remain engaged during the research process.

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What’s Next?

Are you ready to gain a thorough understanding of your customers’ journeys? Email your project specifications to our research experts using Projects at E2Eresearch dot com. We’d love to help you turn your enigmas into enlightenment!

 

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Tips for the First-Time Conjoint Analysis Researcher
By E2E Research | July 16, 2021

Researchers love conjoint analysis. It’s a handy statistical technique that uses survey data to understand which product features consumers value more and less, and which features they might be willing to pay more or less for.

 

It allows you understand how tweaks to combinations of features could increase desirability and, consequently, purchase price and purchase rate. Essentially, it asks, “Would you buy this product configuration if you saw it on the store shelf right now?”

 

Technically, there are numerous ways to present conjoint questions but all of them invite participants to compare two or more things. For example:

 

  • Would you rather buy this in red or yellow?
  • Would you rather pay $5 for a small one or $4 for a large one?
  • Would you rather buy this one or the competitive brand?
  • Would you rather buy this one or keep the one you already own?

 

The comparisons can get extremely complicated as you strive to create scenarios that mirror the complicated options of real life, in-store choices. This is because no two products are have the exact same features. There are always multiple tiny or major things different amongst them including brand, price, color, shape, size, functionality, etc.

 

As you see in the example conjoint question below, participants are being asked to select from among 5 different entertainment bundles, each with a different price and selection of options. Even though this question is nicely laid out, perhaps even nicer than what you might see in a store, it’s not a simple choice!

 

 

example conjoint analysis survey questions

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Quick Conjoint Dictionary

First, let’s cover some quick terminology commonly used with the conjoint method so that the tips we will offer make sense.

 

  • Attribute: A characteristic of a product or service, e.g., size, shape, color, flavor, magnitude, volume, price.
  • Level: A specific measure of the attribute, e.g., red, orange, yellow, green, blue, and violet are levels of the attribute color.
  • Concept: An assembly of attributes and levels that reflect one product, e.g., a large bag of strawberry flavored, red, round candy for $4.99.
  • Set: A collection of concepts presented to a research participant to compare and choose from.
  • Simulator: An interactive, quantitative tool that uses the conjoint survey data to help you review consumer preferences and predict increases or decreases in market share based on potential product features and prices.

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Conjoint Analysis Tips and Tricks

3 to 5: Across all attributes, levels, concepts, and sets, 3 to 5 is a good rule of thumb. With so many possible combinations of attributes, levels, and sets, the ask we’re making of participants could get overwhelmingly complicated and create a lot of cognitive fatigue. That’s why we suggest aiming for no more than 3 to 5 attributes, 3 to 5 levels per attribute, 3 to 5 concepts per set, and 3 to 5 sets. By ensuring that participants enjoy the process and can take the time to review each concept carefully, we can generate much better data quality.

 

Meaningful Levels: Choose attribute levels carefully. Do you really want to test 3 shades of blue or 3 flavors or apple? No. While you could choose price levels of $30, $32, and $34, they aren’t meaningfully different and wouldn’t create a lot of indecision on the store shelf. They wouldn’t create variation within your data. Try to include edge cases – options that are as far apart as you can make them while still being within the realm of possibility.

 

Be frugal with combinations: You already know there are combinations of attributes and levels you would never offer in-store so don’t waste people’s time and cognitive load testing them. Think carefully about which combinations of attributes and levels you would never offer together and exclude them from the test. For example, don’t waste your budget testing the least expensive price and the most expensive feature. Similarly, don’t test the value of adding an extra battery for a version of the product that doesn’t run on batteries.

 

Minimum number of shows: When testing a level, use it in at least 3 concepts for an individual person. Think of it in terms of a ruler – for quantitative metrics (e.g., price, length, volume, weight), you need to see whether the difference between Level 1 and Level 2 is perceived the same as the difference between Level 2 and Level 3.

 

magazinesInclude competitors: The real market includes competitors, often many. People don’t shop for single brands in isolation and neither should they answer your conjoint questions in isolation. Include at least one key competitor in your test, and preferably at least two. Further, if your brand is relatively unknown, you may wish to incorporate a competitor that is also relatively unknown.

 

Include an opt-out: Sometimes when you’re shopping, you discover they don’t have what you’re looking for and you leave the store empty handed. Generating realistic data means we must do the same in our simulated shopping trip – let people select “None of these” and leave without choosing anything. Otherwise, people may be “tricked” into selecting options they would never choose in real life.

 

Easy to read: Remember that conjoint is trying to simulate decisions that would normally happen in-store. Part of the in-store experience is in-store messaging. You’ll rarely see long sentences and paragraphs in the store so avoid them in your conjoint questions too. Use words and phrases that are as close as possible to what someone might see at the store.

 

cookiesUse imagery: We already know that a conjoint task can be cognitively demanding. That’s why imagery helps. Not only does it help people to visualize the product on the shelf amongst it’s competitive brands, it also helps to create a more visually appealing task (mmmmm cookies!). If you can’t provide an image of your product, find other ways to incorporate visuals in the questionnaire.

 

Plan for a hold-back sample: When product development work is extremely sensitive or is associated with life and death decisions, e.g., medical or pharmaceutical research, don’t let your budget determine the validity and rigor of your work. Spend the money to get the sample size you truly need to test each attribute and level with the appropriate rigor. And, build time into the fieldwork and data analysis schedule to permit preliminary analyses and test the model. You might need to tweak attributes, levels, or sets prior to running the full set of fieldwork.

 

Don’t let the statistics think for you: You wouldn’t create an entire marketing strategy based on gender differences just because a statistically significant t-test said 14% of women liked something and only 13% of men liked it. It’s not a meaningful difference. The same thing goes for a conjoint study. Review the model yourself, carefully, regardless of how “statistically significant” it is. Think about the various options suggested by the data. The simulator might reveal that there is a set of attributes and levels that would take over the market but that doesn’t mean you must produce that combination. The human brain is mightier than the spreadsheet!

 

If you’re curious to learn about the different types of conjoint that are available, this video from Sawtooth Software, presented by Aaron Hill, shares details about a few types of conjoint. E2E Research is pleased to offer all of these types to our clients.

 

 

 

What’s Next?

Are you ready to find out what configuration of your products and services consumers would be most keen to purchase? We’d be happy to help you work though the most suitable combinations of attributes and levels and build a conjoint study that meets your unique needs.

 

Please email your project specifications to our research experts using Projects at E2Eresearch dot com.

 

 

Learn more from our case studies

 

Learn more from our other blog posts