New Next Lab 2.40.0: Voice Context for Sprint Reports and Clearer AI Report Consent
New Next Lab 2.40.0: Voice Context for Sprint Reports and Clearer AI Report Consent
We’re excited to announce the release of New Next Lab 2.40.0, focused on making report generation more useful, transparent, and aligned with customer security expectations.
This release introduces two important improvements to AI-powered reporting: the ability to add voice input as additional context for Sprint Report Generation, and a new AI Report Consent acknowledgment that clearly informs users when external AI providers are used to generate reports.
Voice Input as Context for Sprint Report Generation
Sprint Reports are more valuable when they reflect the full context of the work, including insights that may not always be captured in written notes, uploaded resources, or structured session content.
With this release, users can now add voice input as context when generating Sprint Reports.
This makes it easier to include spoken reflections, facilitator observations, team discussions, or additional background that can help the AI produce a richer and more accurate report. Instead of relying only on existing written materials, teams can now quickly capture important context verbally and include it as part of the report generation process.
This is especially useful when:
- Facilitators want to add nuance after a sprint or working session
- Teams have important discussion points that were not fully documented
- Additional context is easier to explain verbally than write manually
- Sprint Reports need to better reflect the reasoning, decisions, and insights behind the work
The goal is simple: make Sprint Reports more complete, more contextual, and easier to generate.
New AI Report Consent Acknowledgment
This release also introduces a new consent step for AI-powered report generation.
When a user attempts to generate a Session Report or Sprint Report for the first time, New Next Lab will now display a clear security and privacy notice explaining that report generation uses external AI providers to process report context.
These providers may include services such as OpenAI, Anthropic Claude, or Mistral.
The consent notice explains that contextual data, including session content, transcripts, uploaded resources, and report-related metadata, may be transmitted to external AI providers for processing in order to generate the report.
Users must explicitly choose whether to accept or decline this processing.
What Happens When Users Accept or Decline?
If a user accepts the AI Report Generation Notice, their consent is stored persistently, and report generation proceeds normally.
If a user declines, AI-powered report generation will remain unavailable, and the system will clearly explain that reports cannot be generated without consent to AI data processing.
Once consent has been accepted, users will not be asked again for future reports unless policies or provider configurations change.
This helps reduce repeated prompts while still ensuring that users are informed before using AI-powered reporting features.
Why This Matters
AI-powered reports are a powerful part of New Next Lab, helping teams turn sessions, sprints, transcripts, resources, and related context into useful summaries and insights.
At the same time, transparency matters.
Organizations need to understand when external AI providers are involved, what kind of information may be processed, and how that processing relates to platform privacy and security policies.
The new consent acknowledgment is designed to make this behavior clear before report generation begins, giving users and organizations greater visibility and control over AI-powered features.
Looking Ahead
Version 2.40.0 strengthens the foundation for more flexible, transparent, and trustworthy AI reporting in New Next Lab.
By combining richer report context through voice input with clearer consent for AI data processing, this release helps teams generate better reports while giving users the information they need to make informed decisions about AI-powered workflows.
We’ll continue improving the reporting experience with a focus on usefulness, transparency, and customer trust.