About Duncan
I build the systems I teach.
Every recommendation you'll get from me has been tested against a real business, in production, this week.
Proof of practice
I don't advise on things I haven't shipped.
Three systems I built and use daily. Every client engagement runs on the same tools.
Built by Duncan
Call Trainer
It scrapes data and constructs a digital twin of your prospect. Practise the conversation before the real meeting. A live coaching layer runs during the call, updating deal stage, talking points, next question, and objection handling every turn. Turn-by-turn scored debrief after.
Built by Duncan
Practitioner Hub
The operating system every engagement runs from. 15 packages, deterministic scoring. Governance audits, maturity assessments, programme designs, ROI reports, AI staff registries. Auth-gated: access is part of every engagement.
Built by Duncan
Prospect Intelligence Platform
Syncs with your CRM's prospect companies. Dual-AI research returns a confidence-scored dossier per account: company overview, use-case matching, discovery questions, and software signals. Territory-scale intelligence without hiring a research team.
I build because I believe you cannot advise on things you have not shipped.
Methodology
The system is the answer.
Prompt, Refine, Deliver, Repeat. Four phases, one goal: capability that stays after I leave.
Phase 1: Prompt - Start from one painful problem
We begin with one well-defined pain your team already feels: launches dragging, research stuck in decks, or content bottlenecks. In 60-90 minutes, we pick a single outcome and a "board-visible" metric, plus one operational metric your PMMs feel every week, and set the baseline.
Why you should care:
When you start with a specific pain and a metric, you are not buying "AI", you are buying a path to relieve something that already hurts.
By the numbers
Practitioner, not passenger.
Two decades in the trade. AI systems shipped, not slides delivered.
The Playbook
Prompt. Refine. Deliver. Repeat.
The published methodology behind every Duncan Hendy AI Mentoring engagement. 22 chapters of practical AI workflows for B2B product marketers: no fluff, no theory, just the prompts and patterns that work.
Get the playbookCompanion tools
Tools I built alongside the book.
Seven ChatGPT tools that turn the workflows in Prompt. Refine. Deliver. Repeat. into ready-to-use prompts. Companion assets to the methodology, not replacements for it.
Pain Point Summariser
Extract the three most common pain points from customer feedback, survey responses, or call transcripts.
Open in ChatGPTPersona Builder
Turn customer feedback and sales transcripts into two fully-formed personas with pain points, goals, and messaging.
Open in ChatGPTFeature Prioritiser
Rank features from customer feedback. Outputs the top three with impact analysis and a slide-ready table.
Open in ChatGPTRICE Scorer
Score features using the RICE framework (Reach, Impact, Confidence, Effort). Ranked table plus narrative.
Open in ChatGPTMarket Analyst
Synthesise industry reports into actionable insights: three trends, adoption barriers, market-entry moves.
Open in ChatGPTCompetitor Profiler
Turn competitor research into battle cards. Strengths, weaknesses, and positioning moves to stand out.
Open in ChatGPTGTM Playbook Builder
Create a complete go-to-market playbook from customer feedback: audience, UVP, channels, enablement, KPIs.
Open in ChatGPTTactical prompts for individual work. Do not paste confidential, personal, or legally sensitive customer data into these tools. For structured, governed AI systems your team owns, book a discovery call.
Start with a discovery call.
Thirty minutes. No slides. We diagnose where you are, and decide together whether it makes sense to work together.
Book a discovery call