An experience map is a structured customer journey map that we use at Carbon Five to help identify challenges and opportunities within an existing (or imagined) experience. Since we use it so often – both when scoping projects and when kicking off major phases of work – we’d love to share a bit about what makes a great experience map. And because we create them collaboratively with stakeholders, we’ll share our facilitator tips for running an enjoyable experience mapping workshop.
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Carbon Five was recently brought in to build a new product with a planned budget of 6 months. As the first step, we conducted a few rounds of customer development to try and validate the concept. After a month of experiments by a product manager and designer, we ultimately recommended that the company not pursue the idea. Our client spent a few weeks of consulting fees but saved more than 90% of their budget by not building anything.
The client for this project provides software to a niche set of businesses. As more and more competition started popping up, they believed they saw an opportunity to create a digital marketplace in their niche. Before Carbon Five started building software, the client wanted us to confirm demand for the marketplace.
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Here at Carbon Five, we’re pretty fascinated by bots and conversational UI. Recently, we worked with Cooper to test and launch a new Alexa skill, a meeting manager to help teams run daily standups. We’ve already written a fair bit about our collaboration process in general, and in the following post I’m going to get into the nuts and bolts of how we design, plan, and document a user’s conversation with a bot.
Between our work on hands-free applications, our project with Cooper, a handful of Slack bots we’ve built during hackathons, and a Facebook Messenger bot we built to celebrate May the 4th, we’ve had a few chances to experiment with ways to create a conversational UI script.
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If you’ve been following along with the Carbon Five Guide to User Research, we’ve worked on developing and confirming a business hypothesis by talking to users and synthesizing the results, then generating a feature set and prototypes, higher resolution design, development, and usability testing. Hopefully you’ve already run a user test and learned something valuable in the process. (If you haven’t, get thee to a User Research Sprint!)
If you have completed your first round of user interviews, good news: you’ve already done the hardest part of setting up an infrastructure that lets you continue learning from your users. Here’s how to keep the insights coming as your product matures.
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If you’ve been following along with our guide to user research, great! By now you’ve defined your feature set and are ready to try out your ideas. You know your product will be validated by user research and match user needs. You know that you need a version of the product to test your solutions and before writing any production code.
Now, we are going to walk through some of the best ways to get the feature set you have in mind into a useful prototype. Some rules of the road to follow before you begin creating prototypes:
- The more the merrier: Come up with as many ideas to prototype as you can; this will help you evaluate your product with both your team and with your users.
- Iterate, iterate, iterate: Once you have the ideas make sure you evolve them through multiple rounds before you throw them out. This is your time to try stuff out and have fun. If you don’t explore broadly at this stage, when will you?
- Use these prototypes to learn: Prototyping is most powerful when it is used to test a hypothesis and to learn about your users and what they want. Don’t think of the prototypes as a final design but as a way of learning what your final design might be.
Without further ado, here are our six favorite prototyping techniques.
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Welcome to the 4th of our User Research series where we share our insights into how to generate a list of features. In the coming paragraphs we’ll talk about how User Research can help with stakeholder management, generating a feature list, and prioritizing a feature list. This post focuses on feature definition, and making what we’ve heard actionable (and testable!). Our next and final post will cover a handful of methods to prototype the features we generate here.
In our last post, we worked on synthesis and analysis of user interviews. After a number of interviews, we refined our proto-personas and identified common experiences.
(You haven’t done synthesis before? No worries! We run User Research Sprints that help with this process.)
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Recently, designers and technologists from Cooper & Carbon Five sat down to brainstorm about the future of voice-driven user experiences, focusing initially on Alexa. It was a fun kickoff for what we hope turns into a series of prototypes and experiments exploring (and pushing) the boundaries of this exciting emerging technology. Here’s what we’ve discovered so far:
So you’ve conducted a round of user interviews. Great! You’ve got video or audio you can revisit if you or your partner weren’t able to jot down everything in time. Wonderful! You recorded your thoughts during the session and kept track of conclusions and interesting observations immediately after. Amazing!
(Wait, you haven’t run a user interview yet? We run User Research Sprints that help with this exact thing.)
We’ll be using a fictional story about a hotel that wants to boost its appeal among business travelers. They’ve interviewed a group of experienced travelers and are about to break down the results. This story is loosely based on the DoubleTree cookie.
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You’ve written your script. You’ve screened your respondents and you’ve scheduled time with them (which you learned to do in our Guide to Recruiting Participants). You’ve got a big day of learning about your users ahead of you!
We’re going to cover what to do during the interview and what to prepare ahead of time. Preparation is important—he more confident you are, the more your respondents will trust you and feel comfortable responding.
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As a consulting firm that’s been around for 17 years, Carbon Five has a unique perspective on trends in digital product development. In this post we look back on 2016 and reflect on what we’ve seen in the industry, and where we think it’s headed. Here are the the top five trends we saw in 2016.
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