Types of Advanced Blocks in Decode

Overview

Advanced Blocks are designed for deeper consumer research. They help you run sophisticated studies like conjoint analysis, randomize how content is shown, and measure loyalty through NPS.

If you’re comparing product attributes, testing across audience segments or capturing detailed feedback at scale, Advanced Blocks give you the tools to dig deeper and uncover what really matters.

Below are the different Advanced Blocks you can add to your study, along with common use cases to help you choose the right one.

1. Conjoint ⚖️: In this question type, respondents evaluate and choose between different combinations of product or service attributes. Each choice set presents varying features and respondents select the most preferred option. This helps identify which attributes are most valued and what trade-offs consumers are willing to make.

2. G&R (Group & Randomization) 🧬: This block allows you to group respondents based on defined criteria or expose them to randomized tasks or questions. It helps reduce bias, improves data reliability and enables targeted comparison across consumer segments.

3. Matrix 🗂️: In this question type, respondents can rate or evaluate multiple items using a consistent scale. Each row represents an item and each column corresponds to a rating or category. This format allows for quick, structured comparisons across several attributes.

4. Net Promoter Score 📈: This block allows you to include a Net Promoter Score question in your survey. Respondents rate how likely they are to recommend a product or service on a scale from 0 to 10, helping you measure customer loyalty and satisfaction.