EVIDENCE-BASED DECISION TRAINING
AI Competitor Research
Build a competitor brief with traceable sources, normalized comparisons, transparent scoring, explicit unknowns and a recommendation a business owner can challenge.
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Overview
A decision-ready competitor package containing a bounded research brief, source ledger, normalized comparison, weighting model, limitations, research-assistant specification and capstone.
Who it is for
Small-business owners, analysts, freelancers and operators who need research that shows its evidence instead of hiding assumptions.
- Format
- Self-study, online, at your own pace
What you will learn
- 8 protected modules and 40 mastery questions.
- Complete synthetic GreenLeaf evidence packet.
- Source-ledger and comparison templates.
- Unit-price normalization and sensitivity analysis.
- Fact / calculation / inference / unknown discipline.
- Review gates and final decision package.
Modules & lessons
- Module 1
Decision & Evidence Boundary
- Module 2
Source Ledger
- Module 3
Comparable Scoring
- Module 4
Claim Classification
- Module 5
Decision Brief
- Module 6
Research Assistant Gates
- Module 7
Templates & Practice
- Module 8
Capstone Package
How self-study works
This is a self-study course. You work through it online, on your own schedule. There are no scheduled classes or live sessions to join.
- Go in order. Each module builds on the one before it.
- Practise as you go. Complete the activities and checks in each module before moving on; they show you what to revisit.
- Keep your work. Save your notes, drafts and evidence in your own document so you can reuse them.
- Get help when you need it. Questions about access or your account go to Student Support.
Assessment & certificate
Certificate. Learners who complete the required lessons and exercises, pass the required mastery checkpoints and complete the capstone where applicable can receive an ARQS Course Completion Certificate. ARQS certificates are private professional-development credentials, not government accreditation, professional licensure or externally recognized academic credentials. How ARQS certificates work
ARQSI · AI course tutor
Study with ARQSI
ARQSI is the ARQS AI course tutor. This space is reserved for ARQSI, which will help you work through the course one lesson at a time: explaining each idea, setting short practice exercises and checking your understanding before you move on.
Until ARQSI opens here, study the modules on your own and contact Student Support with any questions about access.
Important limits
The classroom businesses and records are fictional. This course teaches a method; it does not provide current market validation, guaranteed demand, profitability, accreditation or a recommendation for your specific business.
Ready to start?
AI Competitor Research