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Research Methodology

How we research vendors, gather pricing data, and maintain editorial independence in the software modernization market.

Last reviewed: February 2026 · Updated: Quarterly · No pay-to-rank
200+
Projects Analyzed
35
Migration Patterns
Qtrly
Data Refresh
$0
Pay-to-Rank

Our Mission

We exist to reduce information asymmetry in the software modernization market.

Most companies make multi-million dollar migration decisions with incomplete data:

  • Vendor pricing is opaque
  • Real project timelines are hidden
  • True failure rates aren't discussed
  • Honest trade-offs are buried in marketing

We fix this by publishing transparent, data-driven research on migration costs, vendor capabilities, and strategic decision frameworks.

Research Process

01 Market Landscape Analysis

For each migration pattern (e.g., "COBOL to Java"), we identify all viable vendors through:

  • GitHub analysis of refactoring tools
  • Conference presentations (AWS re:Invent, Google Cloud Next, etc.)
  • Industry analyst reports (Gartner, Forrester)
  • LinkedIn job postings - who's actively hiring for this skill?
  • Case study indexing - who has public proof of delivery?

We then screen for credibility:

  • Minimum 3 publicly referenceable case studies
  • Active maintenance (tools) or open job reqs (services firms)
  • Verifiable domain expertise - not 'we do everything'

02 Pricing Research

We do not "phantom shop" or misrepresent our identity. We gather pricing data through three channels:

Transparent Company Outreach

We contact companies directly, identifying ourselves as industry researchers. We ask for anonymized price ranges - not specific quotes.

Client Interviews

We interview companies that have completed migrations, with their permission. We aggregate data across 10–30 projects per migration type.

Public Price Anchors

Some vendors publish starting prices. We cite these as benchmark anchors with the caveat that real projects typically cost more.

Price Range Methodology

When we state "$1.2M – $3.5M" for a migration:

Low end
Smallest confirmed project we've seen with this pattern
High end
Largest confirmed project or complexity-extrapolated estimate
Typical
Median of all gathered data points for this migration type

03 Content Creation

Migration Guides
  • Risk factors - based on post-mortem analysis of failed projects
  • Cost breakdown - itemized by phase (assessment, migration, testing, cutover)
  • Timeline - realistic ranges based on org size and complexity
  • Vendor matrix - ranked by case study count and specialty match
Hub Pages (Strategic Guides)
  • Multiple migration patterns synthesized into cohesive strategy
  • Cost-benefit analysis across approaches (rehost vs refactor vs rearchitect)
  • Decision trees for choosing the right path
  • Bidirectional links to specific tactical migration guides and insights
Vendor Profiles
  • Only vendors with 3+ verifiable case studies
  • Specialty focus - not generalists
  • Cost tier: $ (offshore/budget) to $$$$ (Big 4)
  • Written by our team - never vendor-supplied copy

Editorial Independence

What We Accept
  • Sponsored listings - clearly labeled 'Featured Partner'
  • Factual corrections from vendors with supporting evidence
What We Don't Accept
  • Pay-to-rank - rankings are based solely on evidence
  • Vendor-written marketing copy in our profiles
  • Gated access - core research is always free
Conflicts of Interest Policy
  • We don't accept consulting projects from vendors we cover
  • We don't sell leads to vendors
  • We don't accept education trips or vendor-paid travel
  • If we ever change this policy, we'll disclose it here immediately

Data Freshness

Vendor case study counts Quarterly
Pricing data Every 6 months (cloud markets updated more frequently)
Migration guides Annually, or when major tool/vendor shifts occur
Methodology review February 2026 - view changelog

Corrections & Transparency

If you believe we've made an error:

  1. 01 Email us with specific corrections and supporting evidence
  2. 02 We'll review within 5 business days
  3. 03 If confirmed, we'll update the content and add a changelog note
  4. 04 We do not silently edit - all corrections are visible

How We're Different

Traditional Analysts
  • Behind $5K–$50K paywalls
  • Vendor-funded research
  • Annual update cycles
  • Generic 'Magic Quadrants'
Lead-Gen Content Mills
  • 'Download guide' → sold to 10 vendors
  • Pay-per-lead model
  • AI-generated fluff
  • No vendor vetting
Modernization Intel
  • Freely accessible - no paywall
  • Advertising-supported, editorially independent
  • Quarterly data updates
  • Evidence-based rankings

We believe transparency builds trust. This page is our contract with you.

- Modernization Intel Editorial Team