---
title: "Release Notes - 7th May, 2026"
url: "https://help.getdecode.io/en/article/release-notes-7th-may-2026"
language: "en"
last_updated: "2026-09-09T07:23:23.058Z"
---

# Release Notes - 7th May, 2026

This release includes major enhancements across Audience Cloud, AI Moderator, AI Analytics, UX Research workflows, platform usability, and infrastructure improvements.

### **Highlights** 

-   Expanded Audience Cloud capabilities and publishing workflows  
-   Improved multilingual AI Moderator interview experience  
-   Enhanced AI Analytics and unified Themes workspace   
-   New UX research and response collection capabilities  
-   Improved onboarding, validation, and configuration workflows  
-   Security, infrastructure, and compliance enhancements  
-   Platform-wide UI cleanup and usability refinements  

### **New Features & Enhancements**  

### **1\. Audience Cloud Improvements**  

**Credit Manager & Audience Credit Dashboard**  

-   Added Audience Credits section within Settings to help teams track and manage available, reserved, and consumed credits.  
-   Introduced credit usage analytics and purchase flow for better visibility into audience consumption and operational planning.  
-   Improved credit management experience with dedicated credit purchase and monitoring workflows.  

![image](https://cdn-assets.productfruits.com/19571814-eb64-4dec-8f20-62c7ea924313)

**Audience Selection & Recruitment Flow**  

1\. Introduced a new audience source selection flow during study setup.  

2\. Researchers can now choose between:  

-   Decode Audience Cloud for panel recruitment  
-   Self-Recruit option for sharing studies with their own participants  

3\. Improved participant recruitment experience with clearer audience selection and study publishing workflows.  

![image](https://cdn-assets.productfruits.com/0b639530-467c-4c31-b2a8-ff2d602c3d36)

**Audience Criteria & Cost Configuration**    

Introduced real-time order summary and credit estimation visibility during audience setup.  

 ![image](https://cdn-assets.productfruits.com/4f9a52e9-f33c-4154-8e38-b52c19cd6e14)

**Credit Validation & Checkout Experience**  

-   Added credit validation during study publishing workflow.  
-   Researchers are now notified when sufficient audience credits are unavailable before checkout.  
-   Introduced streamlined checkout and credit purchase flow to improve publishing reliability and reduce failed publishing attempts.  

![image](https://cdn-assets.productfruits.com/840e5852-42d6-46f9-97a3-7a80b771bcdf)

**Vendor Control & Integrations**  

-   Added vendor management controls within Audience Cloud integrations.  
-   By default, Cint and Dynata integrations are available and active for audience recruitment.  
-   Clients can now activate or deactivate specific audience vendors based on their recruitment preferences or operational requirements.  
-   Improved flexibility and control over panel provider management workflows.  

![image](https://cdn-assets.productfruits.com/2792e13e-7436-4853-879b-8f15dc964867)

### **2\. AI Moderator Enhancements**  

**Expanded Indian Language Support**  

-   Added support for additional Indian languages within the AI Interview language selection flow.  
-   Researchers can now conduct multilingual qualitative interviews more effectively across regional audiences.  
-   Improved accessibility and participant comfort for non-English interview experiences.  

### **3\. AI Analytics & Research Intelligence**  

**Unified Themes Workspace**  

-   Introduced a unified Themes workspace by bringing both Manual Themes and AI-generated Themes into a single analysis view.  
-   Researchers can now create, manage, and analyze manual and AI themes together within one centralized workspace.  
-   Improved thematic analysis workflow with better organization, easier navigation, and streamlined insight management across qualitative studies.  

![image](https://cdn-assets.productfruits.com/488e101e-6030-4a05-b8dd-3ee8306c6210)

###   
**4\. Benchmark Analytics Enhancements**  

-   Added benchmark score calculation support across all study categories.  
-   Enables more standardized comparative analytics and category-level benchmarking. 
-   Improved consistency and reliability of benchmark-driven research insights.  

### **5\. UX Research & Study Experience**  

**Image Response Block**  

-   Added support for Image Response blocks within UX research studies.  
-   Participants can now upload and respond using images as part of study tasks and feedback collection.  
-   Enables richer visual feedback and improves qualitative understanding during UX evaluations.  

**Prototype Import Enhancements**  

-   Improved prototype import workflows and usability for design-based studies.  
-   Enhanced handling and compatibility for imported prototype experiences.  
-   Simplified setup process for UX and product research teams conducting prototype testing.    

### **6\. Platform Experience & UX Improvements**  

**Configuration Page Redesign**    

-   Refined configuration workflows with improved layout, navigation, and usability enhancements.  
-   Removed unused and redundant UI elements to simplify the study setup experience. 
-   Introduced a cleaner dashboard-first design approach for improved workflow clarity and faster researcher navigation.  

**Signup Flow Improvements**   

-   Added enhanced email validation during signup and onboarding workflows.  
-   Improved onboarding reliability and reduced invalid or incomplete account registrations.  
-   Enhanced user verification experience during account creation.  

### **7\. Security & Infrastructure**  

Enhanced System Stability & Future-Proofing: Optimized PII redaction workflows and upgraded AI infrastructure to support newer models, ensuring more reliable data privacy handling and long-term platform scalability. 

### **Impact Summary**  

This release significantly enhances the Decode platform by improving audience recruitment workflows, multilingual AI interview capabilities, AI-powered analytics, and overall research usability. The updates streamline study setup and publishing experiences, strengthen qualitative insight generation, and provide researchers with more advanced audience segmentation and thematic analysis capabilities.
