One method. Product to revenue and beyond.
Every Triggerfish engagement runs through the same underlying method. Product-to-Revenue is our core commercialisation method. In regulated and operational environments, the same evidence-led approach is applied to outcomes such as cost reduction, performance improvement, adoption and capability building.
Three phases. One shared rhythm.
Understand
Structured evidence from customers, market and internal capability. Sharpened opportunity, buyer and value hypothesis.
Validate
Testable propositions, real buyer conversations and a business case senior leaders can act on.
Commercialise
Go-to-market, pricing, adoption and operating design so commercial and operational outcomes actually show up.
Eight stages from ambition to adoption.
- 01Opportunity
Frame the commercial opportunity and the buyer worth chasing.
- 02Proposition
Sharpen the offer, positioning and value story.
- 03Validation
Test with real buyers before scaling spend.
- 04Business case
Build the investment logic and commercial or operational value model.
- 05Go-to-market
Design the sales motion, pricing and enablement.
- 06Ecosystem
Wire in partners, channels and platforms.
- 07Execution
Move from plan to first traction and commercial impact.
- 08Adoption
Embed the capability so the client keeps going.
How we deliver differently.
Senior operators on the work
The people doing the thinking are the same people doing the doing. Senior operators remain directly involved throughout delivery.
AI-enabled, human-governed
CommercialisationOS accelerates evidence, synthesis and drafting. Senior judgement, human review and client context stay in charge.
Focused programmes with clear milestones
Fixed-fee or milestone-based programmes with clear decisions, deliverables and dates.
Leave capability behind
Every engagement produces reusable propositions, models, playbooks and workspaces the client keeps using.
Designed around commercial progress, not consulting activity.
- Leveraged teams, junior delivery
- Long discovery, slow to commit
- Static outputs, thin follow-through
- Senior operators on the work
- AI-enabled evidence and synthesis
- Reusable capability the client keeps