Editorial Policy

Our Commitment to Quality

At Rehearsal AI, we believe that high-quality, accurate, and up-to-date content is essential for effective professional development and interview preparation. Our editorial policy outlines the standards and processes we follow to ensure that every piece of content on our platform meets the expectations of the professionals and students we serve.

We publish Skill Briefs (interactive micro-learning modules), interview guides, company profiles, aptitude resources, and analytical articles covering professional skills, management concepts, MBA interviews, consulting case interviews, and technology industry preparation. Each piece of content is created with the goal of helping ambitious professionals and students build career-critical knowledge.

Author Qualifications and Expertise

Our content team brings direct, first-hand experience from the domains we cover. Our authors and contributors include:

• Industry experts and academic faculty: Professionals who have served on admission panels at premier Indian B-schools and corporate hiring committees, and understand exactly what interviewers look for in candidates
• MBA graduates and management professionals: Alumni from IIM, XLRI, ISB, and other leading programmes who bring real-world insights from across industries including consulting, finance, marketing, and technology
• Former consultants and industry professionals: Contributors with experience at leading consulting firms and corporations who understand professional hiring standards and workplace skill requirements
• Engineers from top technology companies: Team members with experience at major technology organisations who contribute to our technical content and Skill Briefs
• AI and education researchers: PhDs and researchers specialising in AI-driven assessment, interview psychology, and educational technology

Every article and Skill Brief on our platform is attributed to or reviewed by a qualified team member. You can learn more about our team on our Team page.

Content Creation Process

Every piece of content published on Rehearsal AI follows a structured creation process designed to ensure accuracy and value:

1. Research and Planning

We begin with thorough research using primary sources: official institutional websites, industry reports, published interview experiences, academic papers, company data, and direct conversations with professionals and subject-matter experts. Content topics are selected based on user needs, skill demand analysis, and gaps we identify in existing learning resources.

2. Expert Drafting

Content is drafted by team members or contributors with direct expertise in the subject matter. Skill Brief content is developed by professionals with hands-on experience in the relevant domain. Interview question analyses are written by those who have sat on interview panels or who have been through the process themselves. Technical content is authored by engineers with relevant industry experience.

3. AI-Assisted Enhancement

We use AI tools to assist with research synthesis, readability improvement, and content structuring. However, AI is a tool in our process, not a replacement for human expertise. Every AI-assisted piece is reviewed and validated by a qualified human editor who verifies factual accuracy, adds nuanced insights from personal experience, and ensures the content provides genuine value beyond what AI alone can produce.

4. Editorial Review

Before publication, all content undergoes editorial review that checks for:

• Factual accuracy and data verification
• Relevance to current industry trends and professional needs
• Practical value for learners and interview candidates
• Consistency with our tone and style guidelines
• Proper attribution of sources and data
• Absence of misleading claims or unsupported statistics

5. Publication and Monitoring

After publication, we monitor content performance and user feedback. We track whether our Skill Briefs and guides actually help users improve, and use this data to refine our content over time.

Fact-Checking and Accuracy

We take factual accuracy seriously. Our fact-checking process includes:

• Primary source verification: Statistics, company data, industry metrics, and professional development claims are verified against official publications, institutional websites, and authoritative industry sources
• Cross-referencing: Key claims are cross-referenced with multiple sources to ensure consistency
• Expert validation: Domain-specific content is reviewed by team members with relevant professional experience
• User feedback loop: We incorporate feedback from users who have applied our content in real-world interviews and professional settings to validate our recommendations
• Data currency checks: Quantitative data (company profiles, industry statistics, role information) is checked against the latest available sources before publication

AI Use and Transparency

As an AI-powered platform, transparency about how we use AI is central to our editorial integrity.

In Our Product

Our platform uses AI across multiple features: DeepProbe technology powers realistic AI voice interviews with adaptive follow-up questions, Skill Briefs include AI-enhanced learning experiences, and our analytics dashboard provides AI-generated performance insights. These systems are continuously refined based on user outcomes and expert input.

In Our Content

AI assists in our content creation process, including research synthesis, data compilation, and draft structuring. However, every published article and Skill Brief reflects human editorial judgement. Our team adds experiential insights, validates claims against real-world knowledge, and ensures content provides value that goes beyond AI-generated summaries. We believe this combination of AI efficiency and human expertise produces the most helpful learning content possible.

Content Freshness and Updates

Professional skills content can become outdated as industries evolve, new trends emerge, and best practices change. We maintain content freshness through:

• Periodic content reviews: All Skill Briefs, company profiles, and preparation resources are reviewed and updated regularly to reflect current industry practices
• Rolling updates: When significant changes occur (industry shifts, company changes, new professional frameworks), we update affected content promptly
• Date stamps: All articles display a "Last updated" date so readers know how current the information is
• Evergreen validation: Strategy and skills content is periodically reviewed to ensure advice remains relevant even when specific details change

Corrections Policy

We are committed to correcting errors promptly and transparently. If you notice any factual inaccuracy, outdated information, or misleading content on our platform:

• Report it: Email us at contact@gradeless.ai with the content URL and a description of the issue
• Review timeline: We review all correction requests within 48 hours of receipt
• Transparent corrections: When a substantive error is found, we correct the content and update the "Last updated" date. For significant corrections, we add an editor's note acknowledging the change
• Retraction: In the rare case that content contains fundamentally flawed information, we will remove or replace it entirely and note the retraction

Sources and Citations

We draw on a variety of authoritative sources in our content:

• Official institutional sources: Company websites, institutional publications, industry databases, and official reports
• First-hand experience: Insights from our team members who have served as interview panellists, hiring managers, industry professionals, and admissions consultants
• Professional experiences: Verified experiences shared by professionals who have applied skills in real-world settings
• Academic research: Published studies on interview psychology, professional development, assessment methodology, and educational technology
• Industry publications: Reports and analyses from management bodies, consulting firms, industry associations, and professional organisations

Where we cite specific data points or statistics, we include references or links to the source material. General learning advice draws on the collective expertise of our team and is clearly presented as guidance rather than guarantees.

Editorial Independence

Our editorial content is independent and not influenced by commercial partnerships or advertising relationships. While we may mention our own products and services where relevant, our Skill Briefs, guides, analyses, and recommendations are based on genuine expertise and what we believe will most help users succeed. We do not accept payment for favourable coverage of any institution, company, or service.

Contact Our Editorial Team

We welcome feedback on our content, suggestions for new topics, and reports of any issues. Reach our editorial team at: