Turning fragmented information into strategic intelligence, competitive insight, and risk-backed business decisions.
I support leadership and advisory teams with due diligence, competitive intelligence, market mapping, and AI-assisted research — converting scattered signals into structured, decision-ready insight.

2+
Years Experience
100+
Research Engagements
25+
Countries Covered
Multi-Industry
Expertise
How I Work
I follow an 8-step process to move from unclear business questions to practical, evidence-backed answers
Understanding the Core Problem
Breaking the business question down into what really needs to be answered
Defining the Goal
Setting clear, specific research objectives that guide the rest of the work
Building the Research Plan
Creating a practical plan that covers sources, methods, and success criteria
Gathering Information
Collecting data from public records, industry sources, and trusted databases
Cross-Checking Information
Verifying facts across multiple sources before using them in analysis
Resolving Data Gaps
Addressing missing or conflicting information with targeted follow-up
Connecting the Dots
Bringing findings together into a clear, structured picture
Final Review
Checking that the output directly answers the original question and is ready to use
The Evolution of My Research Framework
Built political exposure and risk profiles across 25+ countries. This established the core discipline: verify before asserting, triangulate before trusting, and maintain judgment under incomplete data.
Moved into market and competitive intelligence across SaaS, healthcare, industrial safety, and HVAC — learning how markets mature, how products compete, and what drives buyer decisions at the enterprise level.
Today I use AI to accelerate discovery and organization, then apply human judgment to validate, structure, and decide. Speed scales the work; judgment protects the quality.

Case Study Highlights
Turning careful analysis into practical business outcomes through structured research.
Global Due Diligence & Risk Research
Objective
Build detailed risk profiles across multiple jurisdictions to support AML/KYC and enhanced due diligence decisions.
Scope
200+ risk profiles across 30+ countries in Asia, Europe, Africa, and the Middle East over an 18-month period.
Challenge
Fragmented public records, inconsistent data quality across regions, and limited transparency in high-risk jurisdictions.
Methodology
Systematic multi-source collection from government gazettes, official registries, corporate filings, and adverse media.
Validation
Cross-verification through independent sources; every red flag was corroborated before inclusion.
Outcome
De-risked client onboarding and compliance decisions across 30+ jurisdictions by replacing single-source assumptions with multi-source validated risk profiles.
Key Learning
Accuracy in fragmented environments depends on source triangulation, not single-source completeness.
Technology Adoption & Market Intelligence
Objective
Map adoption patterns of AI and cloud platforms across B2B segments by industry, revenue, and company size.
Scope
60+ B2B companies analyzed across North America, Europe, and APAC; three structured datasets built over a 9-month period.
Challenge
Avoiding sample bias by precisely identifying actual decision-makers and confirmed deployments rather than broad assumptions.
Methodology
Decomposed requirements, built screening questionnaires, and conducted targeted secondary research across public filings and press releases.
Validation
Confirmed technology deployment claims against official company statements and credible third-party reports.
Outcome
Accelerated GTM and survey-design decisions by segmenting 60+ confirmed B2B adopters by industry, revenue band, and deployment maturity.
Key Learning
Precision in screening architecture determines the quality of market intelligence outputs.
Commercial HVAC Market Intelligence
Objective
Capture market dynamics, key players, and demand drivers in the commercial HVAC sector for strategic positioning.
Scope
45+ companies mapped across 10 countries; market sizing, product profiles, and demand drivers compiled over 4 months.
Challenge
Navigating technical product categories, regional market fragmentation, and inconsistent publicly available market sizing data.
Methodology
Developed sector-specific SOPs, mapped industry KPIs, and collected structured data on competitors, products, and regional trends.
Validation
Triangulated data across industry reports, manufacturer catalogs, and regional trade sources to resolve inconsistencies.
Outcome
Informed market-entry and product-positioning decisions with demand-segment intelligence and competitive benchmarks across 10 countries.
Key Learning
Domain onboarding is faster when terminology and product taxonomies are locked down early.
Industrial Safety Equipment Competitive Intelligence
Objective
Profile the competitive landscape for industrial safety equipment to inform product positioning and market entry.
Scope
35+ competitors profiled across 12+ product categories in 8 countries, synthesized from datasheets and certification records over 3 months.
Challenge
Wide range of product categories, varying certification standards, and sparse public pricing or specification data.
Methodology
Built a competitive monitoring framework capturing product lines, certifications, geographic presence, and go-to-market channels.
Validation
Cross-referenced manufacturer datasheets, certification databases, and distributor listings to confirm claims.
Outcome
Reduced competitive blind spots for product and pricing decisions by mapping 35+ players across certifications, channels, and positioning gaps.
Key Learning
Certification and channel data are often more revealing than public pricing in B2B industrial markets.
Skills & Research Infrastructure
Practical capabilities built through real engagements across due diligence, market intelligence, and competitive analysis.
Research & Analysis
Due Diligence & Risk
Market & Industry
Collection & Validation
AI-Assisted Research
Research Infrastructure
Who I Help
Research support across strategy, intelligence, and risk-driven functions
Advisory & Consulting Teams
Accelerated market, competitor, and industry intelligence for client-facing advisory work.
Risk, Compliance & Legal Functions
Due diligence, PEP research, adverse media screening, and risk-backed compliance support.
Strategy & Corporate Development
Structured competitive and market intelligence for M&A, entry, and strategic planning decisions.
Product, GTM & Commercial Teams
Segment mapping, technology adoption analysis, and market-gap intelligence for growth decisions.

The Research Playbook
“A practical framework for gathering, verifying, and structuring business research.”
- A clear framework for scoping and planning business research
- Practical techniques for competitive benchmarking
- Using AI to accelerate research while keeping human judgment central
- Turning raw findings into clear, credible recommendations
Why I wrote this book
Strong decisions depend on strong research. This playbook distills the process I use to scope questions, gather evidence, verify signals, and turn raw findings into clear, decision-ready recommendations.
PDF | 2.4 MB | English
Ready for Decision-Ready Research?
Whether it's market intelligence, competitive analysis, due diligence, or industry mapping — I help leadership teams transform complex information into clear, risk-backed decisions.
Need strategic intelligence, competitive insights, or due diligence support?
Let's discuss how structured research can support better decisions.
linkedin.com/in/shivamchaturvedi96
Location
Available Globally (Remote-first)