Method
Research first. Advice second.
The goal is not to manufacture a clever-looking teardown. It is to understand the mandate a company is hiring for, identify where public evidence supports a useful hypothesis, and be explicit about what cannot be known from the outside.
The publishing standard
Every company brief should be useful even if nobody is hiring me. That is the quality bar.
Facts need sources.
Company claims, market facts, product details and job responsibilities link to primary or high-quality secondary evidence.
Hypotheses stay hypotheses.
External research cannot see internal funnel data, priorities or constraints. The brief never pretends otherwise.
Ideas end in a test.
Every important recommendation should specify the information needed, the smallest experiment and the outcome that would change the conclusion.
What I bring to the analysis
My strongest work sits where growth judgement, structured research, software and AI systems meet.
I build real marketing systems rather than treating AI as a writing shortcut: live job-market intelligence, computed-knowledge SEO, semantic classification, agentic workflows, experimentation systems and owned growth properties.
The recurring question is: what part of the work should be encoded, automated or measured — and where does human judgement still create the most value?
That is also the lens used here.