Advanced quant that ends in a decision

Most research tells you what customers say they want. We show what they choose when they have to trade one thing for another, then turn those choices into models you can use: who to target, what to build, what to charge, and what to say.

Talk to us Explore the methods

What are you trying to figure out?

Pick one
Start here Pick a goal

Choose what you're trying to figure out and we'll suggest where to start, and why.

Four methods, one goal: a better decision

  1. Qualt

    AI-facilitated interviews that probe like qual and count like quant, across hundreds or thousands of respondents.
    • Why do customers switch?
    • How widespread is each reason?
    • What words do customers use?

  2. Segmentation, profiling & personas

    Find the customer groups that genuinely think and act differently, size them, and make them usable across your business.
    • Who should we prioritize?
    • How should messaging differ by group?
    • Can we spot a segment in our CRM?

  3. MaxDiff & TURF

    Rank long lists of features, benefits, or claims with real separation, then build the combination that reaches the most people.
    • Which features matter most?
    • Which claim should lead?
    • Which lineup reaches the most customers?

  4. Conjoint studies

    Measure the value of every feature, price point, offer, and message, then simulate the market before you launch.
    • What should we charge?
    • Which bundle wins?
    • Which offer and creative perform best?

Stronger together

Each method answers a different question. Run in sequence, they take you from open exploration to a launch-ready design, and we run every stage ourselves.

  1. Qualt Surface needs and the language customers use.
  2. Segmentation Define and size who matters.
  3. MaxDiff & TURF Narrow long lists to what counts.
  4. Conjoint Set the design, the offer, and the price.
  5. In-market test Confirm it with real customers.

One vendor for the whole project

We manage design, fieldwork, analysis, modeling, and reporting end to end. There's no need to piece together separate vendors for qual, survey fielding, analytics, and simulators, and you have one point of accountability for the result.

The same team at every phase

The researchers who scope your study are the ones who field it, analyze it, and present it. What we learn in one phase carries straight into the next, so insights, decisions, and expertise stay consistent from the first interview to the final recommendation.

Why clients work with Sibilance

We start from the decision

Every study is designed backwards from the choice you need to make, not from a favorite method.

Insights and industry depth

Senior researchers with deep qualitative and quantitative expertise, built over 300+ engagements and senior leadership roles including Mastercard. That experience spans financial services and payments, healthcare, technology, education, retail, and telecom.

Tools you keep

Market simulators, typing tools, and scenario models your team can keep using after the project.

One team, discovery to launch

A single partner and the same people from insight to concept, test, and launch, so nothing is lost in hand-offs and the numbers connect to what ships.

Results we’ve delivered

10–20%
better offer performance than historical benchmarks, from a conjoint-based direct mail program for a financial services client, at lower offer cost.
+30%
first-year subscriber renewals for The Economist, after needs-based segmentation and segment-specific offer testing.
+50%
purchase intention for a redesigned JetBlue co-brand credit card proposition, built on a new customer segmentation.

Not sure which method fits?

Tell us the decision you're facing. We'll suggest a design, a sample, and a timeline, and one team to see it through.

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