Advanced Blocks Overview

Advanced Study Types in Decode

Decode offers advanced question formats beyond Basic Blocks to support deeper analysis, better comparisons and more structured data collection. These blocks like Conjoint, MaxDiff, G&R, Matrix and NPS are ideal when you need more than simple feedback.

This guide breaks down what each feature offers and when to use them.

When to Use These Blocks?

Use advanced study types when:

• You need to compare multiple items or features side-by-side
• You're running concept tests, feature prioritization or product optimization
• You require richer insights beyond just preferences (like utility or importance scores)
• You want built-in analytics and automated scoring to reduce post-survey work

Key Features

1. Visual layouts optimized for comparisons: Designed to help respondents easily compare options whether it's concepts, features, or statements. E.g., in Matrix, items are rated in rows vs. scales in columns; in Conjoint, respondents choose between product bundles with varying attributes.

2. Required response enforcement: Ensures every question is answered before proceeding. This avoids missing data and improves the reliability of your results especially important in G&R or Conjoint where every response counts.

3. Attribute-level analysis and utility scoring (Conjoint): Conjoint automatically calculates how much each feature and its level (e.g., "battery life: 10 hrs") contributes to a respondent's preference. This shows what matters most and helps simulate real-world choices.

4. Randomization and quota control (G&R): Randomly distributes respondents across different groups (e.g., Concept A vs. B) while maintaining quotas (like 100 responses per concept). This removes bias and ensures clean, balanced comparisons.

5. Tabular and graphical result views (Matrix): View responses as both data tables and visuals like bar graphs or average scores making it easier to understand how items are ranked, rated or perceived.

6. Auto-calculated scores (NPS): In Net Promoter Score studies, scores are calculated instantly. Decode groups users into Promoters, Passives, and Detractors and shows the NPS formula result so there’s no manual math involved.

Common Use Cases

• Conjoint: Optimizing product features or bundles
• G&R: Testing multiple versions of ads or concepts
• Matrix: Measuring agreement, satisfaction or perceptions across multiple statements
• NPS: Measuring customer loyalty with an industry-standard metric