Feedback Assistant is an AI-powered capability within the Nuventive Improvement Platform that provides real-time, context-aware guidance as users complete forms.
Rather than waiting until a submission is reviewed, users receive immediate feedback while entering responses, helping them improve quality, clarity, and completeness before submitting. The result is a more interactive form experience that helps users get it right the first time while reducing administrative time for reviewers. Read the news release HERE.
How does Feedback Assistant work?
Feedback Assistant is embedded directly into the form experience. As users enter responses, AI evaluates the content against criteria defined by the institution and provides immediate feedback. Form creators can configure how the AI evaluates responses using:
- Custom prompts
- Rubrics
- Guidelines
- Instructions
- Examples
- Other supporting materials
This allows institutions to align feedback with their specific standards, terminology, and expectations.
Does the AI replace human review?
No. Feedback Assistant is designed to improve submissions before review takes place. Human expertise, judgment, and decision-making remain critical. Feedback Assistant saves time by streamlining the submission process and helping reviewers focus on analysis, coaching, and improvement rather than correcting avoidable issues.
What is the value for institutions?
Feedback Assistant helps institutions:
- Improve submission quality and consistency
- Reduce review and revision cycles
- Save time for both submitters and reviewers
- Increase efficiency across workflows
- Improve alignment with institutional standards
- Generate more reliable and actionable information
- Reduce administrative burden
What is the value for faculty and staff?
Faculty and staff receive guidance while they are working rather than after the fact. Benefits include:
- Clearer expectations
- Greater confidence in submissions
- Fewer correction requests
- Less rework
- Faster completion of reporting and planning activities
What types of processes can Feedback Assistant support?
Feedback Assistant is designed to be flexible and can support a wide range of institutional processes, including:
- Assessment reporting
- Outcomes development
- Strategic planning
- Accreditation preparation
- Program review
- Improvement planning
- Administrative unit reporting
Can institutions customize feedback?
Yes. Institutions maintain full control over how Feedback Assistant evaluates responses. Administrators and form designers can tailor feedback using prompts, rubrics, examples, and other supporting materials to ensure recommendations align with institutional goals, language, and standards.
What makes Feedback Assistant different from other AI tools?
Feedback Assistant is embedded directly within institutional workflows. Rather than requiring users to leave the platform and experiment with external AI tools, Feedback Assistant delivers guidance within the context of the work being completed and according to institution-defined expectations. The experience is purpose-built for assessment, planning, accreditation, and continuous improvement processes.
What results are institutions seeing?
Early-access institutions have reported significant improvements in both quality and efficiency. Examples include:
- Reduced time spent identifying and correcting poorly written submissions
- Improved consistency across responses
- Faster review cycles
- Reduced administrative effort
- More productive conversations focused on improvement rather than correction
One research institution reported reducing a review process that previously required approximately 250 hours to identify problematic outcomes down to approximately five hours because issues were addressed during entry rather than after submission.
Does Feedback Assistant require technical expertise?
No. The experience is designed to be intuitive for both end users and administrators. Users simply receive guidance as they complete forms, while administrators can configure evaluation criteria through prompts and supporting materials without requiring AI expertise.
How does Nuventive approach AI?
Nuventive takes a purpose-driven approach to AI. Every AI capability is developed to solve real institutional challenges and deliver measurable value. Our focus remains helping institutions achieve more, improve faster, and make better-informed decisions.
Why is Nuventive uniquely positioned to apply AI?
Nuventive brings more than 25 years of expertise in assessment, planning, accreditation, and institutional effectiveness.
Our AI capabilities are built on this domain expertise and informed by direct collaboration with institutions actively using and evaluating these solutions. The goal is not simply to generate content but to help institutions improve the quality, consistency, and effectiveness of their work.
How does Nuventive think about responsible AI?
Nuventive believes AI should:
- Solve meaningful problems
- Enhance human decision-making
- Increase productivity
- Reduce administrative burden
- Respect institutional policies and governance
- Protect institutional data
AI should help people do their best work—not replace their expertise.
How does Nuventive protect data privacy when using AI?
Nuventive’s AI functionality is optional for customers.
Nuventive’s AI capabilities operate within a secure Microsoft Azure environment and follow the same security principles and controls as the broader Nuventive platform. Nuventive undergoes annual SOC 2 Type II audits to validate security controls and operational practices.
The models are deployed within Nuventive’s Azure environment and are not used to train external models. Customer information, prompts, and inputs are not used to fine-tune or otherwise train the models used by Nuventive.
What language models power Nuventive’s AI capabilities?
Nuventive utilizes a variety of AI models supplied by Microsoft through Azure AI Foundry. This approach enables Nuventive to leverage enterprise-grade AI capabilities within a secure Azure environment.
How does Nuventive AI handle bleedover between plan types and templates?
AI inferences and outputs are limited to the form being used and any contextual information or documents provided as part of the prompt. The AI is not aware of other plan types or templates outside of the current form unless that information is explicitly included in the context provided.
Is institutional data used to train public AI models?
No. Customer data is never used to train public AI models.
How is data protected?
Nuventive’s AI capabilities operate within a secure Microsoft Azure environment.
The platform follows the same security principles and controls that govern the broader Nuventive platform.
What security standards does Nuventive follow?
Nuventive undergoes annual SOC 2 Type II audits to validate security controls and operational practices.
Who owns the data?
Institutions retain ownership of their data. Nuventive’s AI capabilities are designed to support institutional work while maintaining appropriate privacy and security protections.