The Process practice
Strategy sets direction. People create momentum. Process determines whether both translate into execution.
As organizations grow, the ways of working that got them here don't always get them where they need to go next.
Decision-making slows. Teams become dependent on hand-offs. Agile becomes a set of ceremonies. Governance adds layers instead of clarity. And AI is often added to existing processes rather than changing how work actually gets done.
Growth Collective enables organizations to design simpler, smarter and more adaptive ways of working—built around their business, people and stage of growth.
We work with leaders and teams to understand how work moves through the organization today—and redesign the structures, processes and decision systems that enable it to move better.
Reduce unnecessary layers and put decisions closer to the right people.
Define roles, accountability and decision rights across teams.
Reduce hand-offs, bottlenecks and friction from idea to execution.
Connect strategy, priorities, teams and execution.
Build customer and business feedback into the way teams operate.
Redesign workflows around what people and AI can now accomplish together.
01 / Agile & Product Ways of Working
We enable organizations to design or evolve Agile ways of working based on their context, maturity and business needs.
Agile operating models · Scrum & Kanban · Product development practices · Backlog & prioritization · Planning rhythms · Cross-functional teams · Continuous improvement
Outcome: Faster, more responsive teams with less process overhead.
02 / Scaled Agile & Enterprise Ways of Working
As organizations scale, individual Agile teams aren't enough. Priorities, dependencies, investment decisions and planning need to work across teams and business units. We design scaled ways of working that create coordination while preserving autonomy.
Scaled Agile practices · Portfolio alignment · Cross-team planning · Dependency management · Enterprise rhythms · Value streams · Governance
Outcome: Greater alignment across teams without slowing execution.
03 / Operating Model Design
We enable organizations to define how teams are organized, where accountability sits, how functions collaborate and how decisions move through the system.
Team structures · Roles & responsibilities · Decision rights · Governance · Interfaces · Product operating models · Leadership rhythms
Outcome: An operating model designed around the outcomes the organization wants to create.
04 / Decision Systems & Governance
We redesign governance around clarity rather than control.
Decision rights · Prioritization frameworks · Investment decisions · Portfolio reviews · Product reviews · Escalation paths · Leadership forums
Outcome: Fewer decision bottlenecks, clearer accountability and faster movement.
05 / Metrics, Feedback & Learning Systems
We enable organizations to connect metrics to decisions, customer outcomes and business value.
Outcome metrics · OKRs · Product metrics · Business metrics · Feedback loops · Experiment measures · Review rhythms
Outcome: Teams that use evidence to learn, adapt and make better decisions.
06 / AI-Enabled Ways of Working
AI can fundamentally change how organizations research, analyze, plan, design, build, test, communicate and make decisions. We work with teams to identify where AI can remove low-value effort, accelerate workflows and expand what people can accomplish—while keeping human judgment where it matters.
AI workflow design · AI-assisted product development · Automation opportunities · Human-in-the-loop decisions · AI governance · Experimentation
Outcome: AI embedded into the way work happens—not sitting beside it as another tool.
Agile. Scrum. Kanban. Scaled Agile. Design Thinking. Lean.
Each has changed how organizations work—and each can be valuable. But frameworks become ineffective when organizations adopt the mechanics without understanding the principles behind them. We don't begin by prescribing a methodology. We ask:
What are you trying to achieve?
Where does work slow down today?
Which decisions take too long?
Where are teams dependent on one another?
How quickly does customer evidence reach the people making decisions?
Where could AI fundamentally change the workflow?
Then we design the right system around the context.
Use what works. Change what doesn't. Build what's missing.
01
Map the current operating environment, workflows, decision patterns, bottlenecks and organizational realities.
02
Create the operating model, processes, roles, decision systems, metrics and ways of working required for the future.
03
Put the new system to work with a real team, product or business challenge.
04
Build the capability of leaders and teams to operate differently—not simply follow a new process.
05
Codify what works, adapt what doesn't and expand the model across the organization.
We don't hand over a process document. We enable a new way of working.
Depending on the challenge, an engagement could result in:
How teams, roles and responsibilities fit together.
How work moves from opportunity through execution.
Who decides what, when and using which evidence.
The forums, rhythms and guardrails required to stay aligned.
Practices adapted to the organization's scale and context.
What teams measure, review and learn from.
Where AI accelerates work and where human judgment remains essential.
How to move from today's operating model to tomorrow's.
Waterfall gave organizations structure. Agile shortened feedback cycles. Design Thinking brought customers closer to the process. Lean emphasized learning and reducing waste. Each responded to the realities of its time.
AI changes those realities again.
Research can happen faster. Ideas can become prototypes in hours. Code can be generated and tested differently. Customer signals can be synthesized continuously. Teams can explore far more possibilities before committing resources.
The question is no longer simply: “How do we become more Agile?” It is: “How should we work when intelligence and execution are both being accelerated?”
That question led us to develop our own approach.
SENSE → SHAPE → SHIP → SCALE
The Adaptive Product Loop™ combines the enduring principles of product management, Agile, Design Thinking and continuous learning with the possibilities created by AI.
It is designed around one fundamental shift: Move faster between signal, decision, action and learning.
SENSE — Find the signals that matter.
SHAPE — Turn evidence into better bets.
SHIP — Build, test and learn faster.
SCALE — Scale what creates value—and feed new evidence back into the system.
AI accelerates the loop. Human judgment directs it.
Explore the Adaptive Product Loop™ →
Whether you're introducing Agile, scaling product ways of working, redesigning an operating model, embedding AI into workflows or rethinking execution altogether, we start with the same question: What would enable your organization to work better?
Simpler processes. Clearer decisions. Stronger ownership. Faster learning. More adaptive organizations.
Redesign How You Work →