Stage-gate manages a project through funding checkpoints. Design thinking generates and pressure-tests the concepts before they enter a stage-gate process. We use the Double Diamond method — Discover, Define, Develop, Deliver — run through structured sprints, so what reaches your stage-gate process has already been shaped around real customer need and validated against evidence, not just internal conviction.

It works alongside your team. We run the discovery, ideation, and validation sprints that generate and pressure-test concepts; your R&D and innovation teams retain ownership of development, technical feasibility, and execution. We're not a replacement for internal capability — we're capacity and methodology brought in for a defined sprint, not an ongoing department.

This is built for mid-market food, beverage, foodservice, and hospitality companies — generally $200M to $2B in revenue — where the innovation pipeline is active enough to need real prioritization, but not so large that a full internal design-thinking practice already exists.

You walk away with validated, evidence-tested concepts ready for a funding decision — not a slide deck. Depending on the sprint, that includes concept prototypes, customer validation findings, competitive and trend analysis, and a clear read on which ideas are actually ready to move forward.

Success is measured by decision quality, not just output volume: how many concepts survived real customer and market pressure-testing, how much time and capital were saved by not developing weak ideas, and how confidently leadership can move forward on what remains.

Yes. We treat your existing stage-gate or PLM process as the system of record for what happens after a concept is validated. Our sprints feed evidence-tested concepts into whatever gate structure you already run — we don't ask you to replace it.

Cost depends on sprint scope, timeline, and how many concepts are in play. Contact us for pricing specific to your pipeline.

We validate through structured customer research, jobs-to-be-done interviews, journey mapping, and research-partnered concept testing — methods that surface real purchase intent and unmet need before a product ever reaches production or shelf.

A research firm typically measures reactions to concepts you've already defined. We do that and the step before it — using competitive intelligence and trend translation to find the white space in the first place, then design sprints to shape and pressure-test concepts, with research partnerships built in to validate what survives.

By separating discovery from evaluation. Concepts are generated through structured sprints grounded in outside signal — competitive intelligence, trend data, and customer research — and pressure-tested against evidence rather than internal conviction, so an idea has to survive scrutiny regardless of who in the room likes it.

Breakthrough innovation rarely starts with brainstorming. It starts with understanding where consumer needs are changing, where competitors are vulnerable, and where categories are evolving. We combine competitive intelligence, trend analysis, consumer co-creation, Jobs-to-Be-Done, and structured innovation methods to uncover opportunities that conventional planning often overlooks.

Absolutely. Many innovation initiatives involve sensitive product concepts, strategic growth platforms, or future portfolio plans. We routinely work under non-disclosure agreements (NDAs) and integrate into existing innovation teams while maintaining strict confidentiality throughout the engagement.

Protecting confidential information is built into every engagement. We tailor our approach based on the sensitivity of the program, using non-disclosure agreements, controlled participant recruitment, staged disclosure, concept abstraction, blinded evaluations, and trusted research partners when appropriate.

When AI is used, we follow secure, enterprise-appropriate practices and work with clients to determine what information can and should be shared with AI tools. Sensitive product details, proprietary data, and intellectual property remain protected through defined governance, secure workflows, and human oversight throughout the innovation process.