Algorithm Transparency

How we rank roadmaps and calculate expert credibility—completely open and auditable

Our Commitment to Transparency

Unlike other platforms that hide their algorithms behind black boxes, Unslop makes every aspect of our ranking and credibility systems completely transparent and auditable by anyone.

This page documents how our algorithms work, how they evolve, and how you can verify the calculations yourself. Everything is open-source and published on GitHub.

⚠️ Implementation Status: This algorithm hasn't been fully implemented yet. We're moving as quickly as possible and need community support and voices to help refine and validate this approach. Join the discussion on Discord to contribute your ideas.

Roadmap Ranking Algorithm

Our roadmap ranking system uses three core pillars to ensure we surface the highest-quality learning paths from credible creators that deliver real results and foster sustainable communities.

Pillar 1: Credibility (40%)

Multi-dimensional evaluation of the roadmap creator's expertise, relevance and proven track record.

Verification

Identity verification & credential validation

Source: Third-party verification service API calls

Peer Evaluation

Endorsements and reviews from other verified experts in the field

Source: Expert endorsements system, peer review feedback

Seniority, Certification & Academic Relevance

Years of experience, professional certifications, academic credentials, and industry recognition

Source: Third-party verification service API calls

Revenue Validation

Proven commercial success and market validation of expertise

Source: Revenue verification through third-party sources & SEC or equivalent filings

Innovation

Novel ideas, contributions, methodologies, and patents

Source: Scientific publications, patents, trademarks & copyrights

Pillar 2: Learner Success (40%)

Objective measurement of learner outcomes and the roadmap's effectiveness in achieving real-world results.

Completion Rate

Percentage of learners who successfully complete learning materials or the Unslop roadmaps

Source: User progress tracking data, milestone completion logs, course analytics via APIs

Graduate Employment Rate

Job placement success and career advancement after learning & Unslop roadmap completion

Source: Self-reported career updates, LinkedIn profile updates

Graduate Skill Assessment

Verified skill improvements through assessments, projects, and peer reviews

Source: Skill assessment results, project submissions, peer review scores

Churn Rate

Rate of learner dropouts and disengagement during the learning process

Source: Activity logs, user engagement metrics, dropout tracking, course analytics via APIs

Satisfaction and experience quality

Sentiment analysis of learner feedback

Source: User reviews, education material feedback comments analyzed via NLP

Pillar 3: Sustainability & Impact (20%)

Expert's social responsibility, and contribution to building sustainable, inclusive communities beyond just education.

Social Responsibility

Accessibility initiatives, inclusivity efforts, charity, scholarships, and social impact programs

Source: Accessibility program data, inclusivity metrics, charity, scholarship data, social impact reports via third parties

Collective Contributions

Community-driven improvements, volunteering, mentoring, collaborative results, and open-source contributions

Source: Open-source contribution logs, mentoring & volunteering records

Reputation

Character references, trustworthiness, and lack of criminal records.

Source: Third-party reputation evaluation software API

Community Engagement

Activity, referrals, social media activity

Source: Social media APIs, affiliate program data

Community Size

Number of active learners, readers, social media following

Source: Social media APIs & education programme API data

Algorithm Version History

We maintain a complete history of all algorithm changes. Every modification is documented, discussed and versioned.

Version 1.0.0 (Current)

2025-11-23

Initial algorithm implementation with three-pillar approach focusing on Credibility (40%), Learner Success (40%), and Sustainability & Impact (20%). Features 14 distinct sub-factors for transparent, granular ranking.

View Complete Version History on GitHub →

Open Source & Auditable

All ranking and credibility calculation code is open-source and available on GitHub. You can:

  • Review the complete source code
  • Run calculations yourself to verify results
  • Propose improvements via pull requests
  • Participate in algorithm design discussions
  • Report bugs or gaming vulnerabilities