Transform committee feedback into
scholarly revision
Walden University · Doctor of Business Administration · APA 7
Change Matrix-R extracts every committee comment from your dissertation, generates APA 7-compliant revisions using AI, and produces the complete Change Matrix package required for doctoral resubmission.
I have committee feedback
Upload your dissertation with embedded Word comments from your doctoral committee. The platform extracts each comment, generates AI-revised paragraphs, and assembles your complete Change Matrix for resubmission.
Revision ModePre-submission audit
No feedback yet? Upload your clean dissertation and Change Matrix-R simulates a doctoral committee review — identifying potential issues before submission using patterns from real rejection feedback.
Pre-Submission ModeUpload your dissertation
Select a workflow above first
How it works
From committee feedback to resubmission-ready documents in minutes
Upload your dissertation
Upload a .docx file with embedded committee comments or a clean .docx draft for pre-submission audit. Legacy Word files should be saved as Microsoft Word Document (*.docx) before upload.
AI generates all revisions
Claude AI reads every committee comment alongside the full paragraph context and produces a complete, APA 7-compliant revision for each flagged passage — including multiple occurrences throughout the document.
Review, accept, and download
Review each revision side-by-side with your dissertation. Accept, edit, or reject individually, or accept all occurrences of a recurring issue at once. Download three ready-to-submit Word documents.
Walk through the full Change Matrix-R workflow — click each step or use Auto-play
Performance management leaders have found that ineffective performance management strategies waste resources and delay programs the federal government offers to the general public.
The conceptual framework for this study is called Total Quality Management. The principal belief of Total Quality Management is that feedback from frontline employees is needed during the performance management improvement process.
Participants were selected through a purposeful sampling method and data was collected through semi-structured phone interviews and through consultation of organizational documents.
