Sawtooth

Carnegie Mellon University researcher Ronald T. Wilcox needed a smarter way to help mutual fund managers set fees that balance revenue goals with what investors actually want. Using our tools, he built a decision model that identifies "efficient" fee structures — ones that maximize revenue without sacrificing customer satisfaction. The result was a practical, replicable framework that mutual fund companies can use to sharpen their pricing strategy and uncover opportunities for targeted fee differentiation. Read more here: https://lnkd.in/gWjqdPeD

We're hosting Sebastian Syperek to discuss how AI can strengthen both user experience and customer experience research. Sebastian is a German based researcher with 25 years of experience across market research, CX, and UX. Trained as a psychologist, he has worked for organizations including Ipsos, eBay, Deutsche Bahn, and Kaiser X Labs. A company of Allianz. His work focuses especially on quantitative research, segmentation, prioritization, and translating complex data into clear strategic direction. Sebastian is particularly interested in bringing stronger quantitative thinking into UX research and exploring how AI can extend the reach and impact of modern insight work. Thrilled to have you, Sebastian! Save your spot in the comments below.

Most pricing surveys telegraph their intent the moment respondents see the first question. Bryan K. Orme explained why that's a problem: when respondents know it's a pricing game, they start lowballing. Here are two ways to get honest answers: 1. Hide the pricing question in plain sight. Conjoint analysis varies features alongside price, so respondents focus on the whole product. 2. Add competitive context to monadic tests. Show competitors at fixed prices while varying only your product's price. Suddenly, respondents are shopping, not negotiating. "The quality of the sample may matter more than the choice of the survey method." When your survey mimics reality, your data does too. Listen to this session now on Spotify or Apple Podcasts.

Product ideation usually asks a small group to come up with ideas, then everyone else just reacts. In this session at #SRC26Berlin, Nino Hardt, Peter Li, and Joris van Gool from SKIM will share a different flow. They use an AI-powered chat experience to help participants generate feature ideas in the moment, then quickly sort what rises to the top using a simple evaluation. The result is a set of human-generated ideas that come with clear scores, faster analysis, and the why behind the choices. If you're curious where AI can help research teams, this will be a great session to get access to.

Designing a great banking product is hard. Designing one when there are trillions of possible feature combinations is a whole different beast. Next week at #SRC26Berlin, Agnieszka Wolf and Magdalena Jaskóła from Bank Millennium will join Rafał Neska from WiseRabbit Market Research to share how they built Bank Millennium’s 360° current account, which was recently recognized as the best personal account in Poland. They will walk through how they used customer input and simple tradeoff testing to pinpoint a feature set that both resonates with customers and works for the business. This will be a great look at moving from “what sounds good” to “what wins.”

Monthly webinars are one of our favorite ways to help you stay close to how research is changing. We invite experienced guests from a wide mix of industries like consumer goods, software, legal, retail, agencies, and hardware because great research principles travel well, no matter what you’re studying. Topics of our webinars are as current as AI, or as timeless as stakeholder communication, survey design, and making results easier to act on. One hour per month. Completely free. Just research leaders sharing how they refine their craft so you can refine yours. View all past and future webinars here: https://lnkd.in/g7San5d6

For B2B SaaS companies, pricing decisions get risky when they rely mostly on gut instinct. At #SRC26Berlin, Megan Peitz and Jennifer Matus will share a case study with Docusign showing how they used customer research to make clearer pricing decisions, including: • Launching a new product line • Setting up license options without undermining existing plans • Building tiered service packages • Expanding into new sales channels Excited to welcome Megan and Jennifer to the Sawtooth Research Conference next week!

We've added three new list scripting functions to Discover that save time when you work with dynamic lists. getListItemLabel() lets you pull the label of the item currently in a given position, so you can drop a respondent’s top ranked choice into a follow up question and ask why. getListItemNumber() helps you map a shuffled or trimmed list item back to its original source number, which makes tracking and reporting more reliable. reverse() flips the order of a dynamic list with a single call. These additions reduce manual fixes and make list-based piping more predictable when lists change mid survey.

If respondents are confused or bored at the start of a survey, everything after that gets harder. At #SRC26Berlin, Megan Peitz and Trevor Olsen from Numerious Inc. will share a better way to begin conjoint surveys. They tested a new warm-up approach against the usual “here’s what each feature means” intro, and measured what changed for participants: - How well they understood the task - How engaged they stayed - How long the survey took - How usable the results were This is a simple upgrade that can make research easier for respondents and simplify your decisions afterward.