Shannon Hall, PhD
Scientific GTM Strategist. Positioning for complex products whose buyers are experts.
Primary research with the scientists and research leaders who make the call, translated into frameworks that shape what gets built and how it gets sold.
What I bring
Three systems behind go-to-market decisions
Research that changed the roadmap, not just the messaging
One framework became the reference model for a platform build and the shared vocabulary between product and go-to-market.
Customer Value FrameworkSegmentation by strategic logic, not company size
Large enough to take months to complete. Structured so teams could pull it into demo scripts and sales collateral from the first pass.
ICP & Personas DirectoryPositioning that held through a four-segment expansion
A shared problem frame at the top, different conversations underneath, across two platform launches without the story contradicting itself.
Positioning Architecture- Trained as a scientist, then learned to translate it
A research doctorate and a decade of bench science taught me how to design defensible systems to solve unanswered questions; early experience in communications built my ability to translate for a non-scientific audience.
- Entered industry at the customer interface
My passion for scientific credibility and communication instincts came together into a commercial function, supporting sales, driving adoption, and building education strategy across global enterprise accounts in a regulated market.
- Grew into the strategic layer
I moved from customer-facing execution into product and marketing strategy, owning infrastructure that go-to-market teams depend on and making complex products sellable to sophisticated buyers.
How I use AI in my work
AI changed my throughput, not my standard of proof. Here is where it sits in the workflow.
Compress evidence review
Synthesize large volumes of research, calls, and competitive material in hours instead of weeks, so decisions start from a complete picture.
Autonomous market intelligence systems
Standing workflows that monitor competitors, buyers, and category language, and surface shifts before they show up in pipeline.
Dynamic data visualization
Turn raw datasets into charts and cuts on demand, so I can see the patterns from several angles. The interpretation stays mine.
Audit positioning at scale
Check messaging consistency across every asset and segment, catching drift a manual review would miss.
This site was built with AI. Every strategic claim, and the judgment behind it, is mine.
Where AI did the work
Built the site: pages, navigation, resume, and the interactive case-study deliverables.
Drew the case-study graphics and animations, and applied the palette and type consistently.
Tightened copy I supplied, and checked its own work in the browser.
Where I intervened
Every claim of substance: the career arc, the frameworks, the results, and each takeaway.
Generalised real segments and figures so nothing confidential shipped.
Chose the design direction, and rejected and re-edited what didn't hold up.