How We Engage

Applied discovery, not theory

TheoryReal decisions

We work with teams on real business decisions, ranging from high-stakes initiatives to ongoing product and portfolio questions, while introducing a structured Jobs-to-Be-Done approach through the work itself.


Our Process

01

Phase 1

Framing the Decision

We start by working with leadership and product teams to align on how the discovery will be run and what it needs to inform. Together, we define the business challenge, the market or segment to focus on, and the scope of the work. The aim is to create a clear frame so discovery is focused, relevant, and tied to a concrete decision.

02

Phase 2

The Pilot

We run discovery on real product work. The team maps the customer's world using Jobs-to-Be-Done, then validates needs through quantitative research. Based on the resulting needs data, we facilitate a structured ideation workshop where concepts are generated directly from underserved customer outcomes, not assumptions or brainstorming.

03

Phase 3

Internalization & Scale

We tailor follow-up based on what the organization needs to make this way of working stick. This may include supporting additional teams, reinforcing the approach through repetition, or helping product teams become confident running discovery independently. The goal is to integrate structured discovery as a durable capability, not a one-off exercise.


The Discovery Excellence Pilot

One Pilot.
Two Outcomes.

Low risk, high reward. Every pilot delivers both immediate strategic value and lasting team capability.

Strategic Clarity:

You replace assumptions with validated insight that sharpens strategic choices for a specific product or market.

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Team Capability:

Your team learns the methodology by doing it.

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The Viable Pilot

What Changes When Discovery Is Done Well

The consequences of a needs-based approach

Better growth decisions

Teams and leaders make choices based on evidence of real customer needs, not opinions or urgency.

Clear differentiation

Products focus on solving problems that matter and are underserved, instead of competing on features.

Faster alignment across the organization

Strategy, roadmaps, goals, and messaging are anchored in the same understanding of the customer.

Smarter use of AI and technology

Automation targets real customer effort, increasing impact while reducing waste.

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