Research Methodology

How Peoplense curates, analyzes, and validates performance management intelligence

Purpose

Peoplense is an AI-powered knowledge platform that aggregates, classifies, and analyzes published research on Performance Management and People Development. We transform scattered publications into a structured, searchable intelligence resource — helping professionals, researchers, and leaders make evidence-based decisions about people development strategies.

Research Principles

  • 1Source from established vendors, analysts, and recognized industry publications only
  • 2Apply AI-assisted analysis to extract actionable insights — never to fabricate or speculate
  • 3Validate every article through automated fact-checking before publishing
  • 4Maintain editorial independence — no vendor sponsorship influences content selection or analysis
  • 5Prioritize relevance to Performance Management Systems — generic content is filtered out
  • 6Provide transparent sourcing — every article links back to its original publication
  • 7Block commercial and promotional content — sources that primarily market paid products or certifications are excluded

Content Pipeline

1

Source Monitoring

RSS feeds from 28 curated sources across PMS vendors, industry analysts, and business publications are checked once daily at 6:00 AM UTC. Google News Discovery supplements these with articles from any publisher worldwide.

2

Pre-Ingestion Filter

A broad keyword-based filter checks each article's title and summary for performance management terms. Trusted sources bypass the pre-filter. Articles about unrelated topics are skipped.

3

Full Article Scraping

Articles that pass the pre-filter are scraped for their full text using Trafilatura with BeautifulSoup fallback. Duplicate content is detected via SHA256 hashing. Articles from paywalled or registration-walled sources are automatically rejected — we only publish content a reader can access in full at the original source.

4

Topic Classification

A rule-based classifier analyzes the full article text and assigns topic labels: Performance Management, Employee Engagement, Leadership Development, Feedback & Coaching, and more. Articles with zero relevance to people development are classified as out-of-scope and automatically removed.

5

AI-Powered Analysis

Each PMS-relevant article is processed by Claude AI (Anthropic) to generate structured analysis: executive summary, key insights, practical takeaways, frameworks mentioned, and critical assessment.

6

Fact Validation

An automated post-processing layer compares AI-generated output against entities extracted from the source text. Names, numbers, and organizations are cross-checked. Articles receive a validation status: passed, warning, or failed.

7

Search Indexing & Publication

Validated articles are indexed in Meilisearch for full-text search with faceted filtering, and appear across the platform — dashboard, article library, trends, digest, and intelligence briefs.

Content Freshness & Retention

•
Ingestion Window: Articles up to 12 months old are eligible for ingestion from RSS feeds
•
Article Retention: Once published in the library, articles are retained permanently — there is no auto-archive or expiration
•
Daily Updates: New articles are automatically discovered, classified, and analyzed every day at 6:00 AM UTC
•
Blocked Sources: Sources that primarily market paid products, certifications, or promotional content are blocked at the domain level
•
Quality Over Quantity: We prioritize true PMS relevance over volume — a smaller library of high-quality, focused content serves you better than a large collection diluted with generic articles

AI Analysis Structure

Each article processed by the platform receives a structured AI analysis containing the following sections. All AI-generated content is clearly labeled with a visible disclaimer.

Executive Summary

A concise 120–180 word overview of the article's core argument, written in neutral academic tone.

Key Insights

3–5 important ideas, findings, or conclusions from the article.

Practical Takeaways

Actionable points for practitioners based on the article's content.

Frameworks Mentioned

Only frameworks explicitly cited in the article — never invented or assumed.

Critical Assessment

Strengths and limitations of the research methodology, sample size, or conclusions.

Geography & Article Type

Where the research applies and whether it is opinion, research, case study, or vendor content.

Validation Status Definitions

passed

Article passed all automated fact-checks. Claims are well-supported by cited evidence.

warning

Some claims could not be fully verified. Article is published with advisory notes.

failed

Significant factual issues detected. Article is flagged for editorial review before publication.

unvalidated

Article has not yet been processed through the validation pipeline.

Authenticity & Integrity Rules

  • ✓No AI-generated fabrication — all content originates from real, published sources
  • ✓Original article URL is always preserved and linked for reader verification
  • ✓AI analysis is clearly labeled as machine-generated, distinct from the original author's work
  • ✓Articles that fail validation are withheld until reviewed by a human editor
  • ✓Source tier and reputation score are displayed alongside every article
  • ✓Corrections are issued transparently when errors are identified post-publication

For Publishers

If you are a content publisher and would like to opt out of being indexed by Peoplense, or if you believe your content rights are being infringed, please contact us. We will review and respond to all requests promptly.