When Expertise Isn't Enough: Acerola Strategies and the Problems That Don't Go Away

Apr 6

Preview

A guide for organizations that have tried the conventional approach — and watched the problem return.

The Most Expensive Mistake in Organizational Strategy

Most organizations, when confronted with a persistent, intractable challenge, do the same thing: they hire an expert. They commission a study. They build a strategic plan. They bring in a consulting firm, implement the recommendations, and wait for the results.

Sometimes, it works. Complicated problems — the kind with a knowable structure, a traceable cause, and an optimal solution — yield to this approach. A malfunctioning process. A broken compliance protocol. A poorly designed compensation structure. These are problems that can be diagnosed, fixed, and closed. Experts exist precisely for challenges like these, and expertise genuinely solves them.

But there is a second category of organizational challenge — one that behaves entirely differently, that resists definition, shifts as you engage it, and survives every intervention designed to eliminate it. These are complex, adaptive challenges — what scholars of organizational strategy call "wicked problems." And the most expensive mistake organizations make is treating them as if they were complicated.

The consequences are visible in budget lines everywhere: millions spent on strategic plans that live in binders, digital transformation projects that modernize systems without changing behavior, workforce development programs that place people in jobs they don't stay in, sustainability commitments that generate reports without reducing emissions, change initiatives that produce compliance without producing change. The money flows. The problem persists.

Acerola Strategies was founded precisely because this mismatch — between problem type and problem-solving approach — is not a failure of effort or intelligence. It is a failure of diagnosis. And the right diagnosis changes everything.

How to Know You Have a Complex Problem

Not every hard problem is a complex problem. The distinction matters — and it is operational, not academic.

A complicated problem has a high degree of difficulty, but its structure is ultimately knowable. An engineering challenge, a regulatory compliance gap, a software integration — these involve moving parts and require deep expertise, but cause and effect can be traced in advance. Best practices exist. Experts can be brought in, a plan can be written, and the plan, if executed well, produces the result. This is where traditional consulting thrives.

A complex problem operates by different rules. Cause and effect can only be understood in hindsight. Multiple actors with different interests, incentives, and constraints are entangled in the challenge. The problem shifts as you work on it — early interventions produce feedback loops that change the system in unexpected ways. No single actor controls the solution. No upfront plan survives contact with reality long enough to deliver the intended outcome. Research on wicked problems published in Administration & Society found that these challenges require simultaneous engagement across systems thinking, collaboration, and adaptive leadership — not expert-led sequential problem-solving (Head & Alford, 2015). The right move is not to hire the right expert and follow their plan. The right move is to build a collaborative network, run experiments in short cycles, learn from what happens, and adapt continuously.

The signals that you are dealing with a complex problem:

You have spent significant resources on a problem — consulting fees, internal initiatives, leadership time — and the problem has not resolved. It may have improved temporarily, then rebounded. You find that progress requires cooperation across units, agencies, or organizations that do not naturally align. Stakeholders disagree not just about the solution but about the nature of the problem itself. Every proposed solution surfaces a new objection, a new constraint, or a new complication you did not anticipate. And perhaps most tellingly: the problem involves human behavior, culture, trust, or relationships — all of which are, by definition, adaptive and nonlinear.

If this describes your situation, the following scenarios were written for you.

Seven Scenarios Where the Wrong Approach Has Already Cost You

1. The Strategic Plan That Produced Nothing

The situation. Your organization invested significantly in a strategic planning process. You hired a respected firm, engaged your leadership team, conducted stakeholder interviews, and produced a document that accurately described your challenges and outlined a clear path forward. It was well-received. You launched the implementation phase.

Two years later, almost nothing in the plan has happened. Not because the plan was wrong — in many respects it was insightful. But no one owns it. The environment shifted in ways the plan did not anticipate. Key people who championed it left the organization. Teams reverted to their existing priorities. The report sits on a server, referenced occasionally in presentations, never fully executed.

The usual move. Most organizations respond by commissioning a new plan, or by adding more governance — steering committees, progress dashboards, accountability reviews. They assume the failure was in execution, not design.

Why it doesn't work. Strategic planning, as traditionally practiced, is a linear process: analyze the environment, define the strategy, write the plan, implement the plan. It works in stable environments where the key variables can be forecast with reasonable accuracy. A 2025 study synthesizing 40 years of strategy execution literature confirmed that up to 67% of well-formulated strategies fail during implementation — and identified that rigid planning structures are themselves a primary cause of this failure in dynamic environments (Choudhury et al., 2025). A parallel analysis published in Strategy & Leadership found that while strategic planning remains relevant, its effectiveness is severely constrained by organizations' inability to adapt plans when environments shift — the defining condition of the VUCA world most organizations now inhabit (Dhlamini, 2025). A plan is static. The problem is not.

The adaptive path. Acerola Strategies replaces the planning-then-implementing model with design/do management — an iterative cycle in which strategy and action are not sequential phases but simultaneous ones. Rather than a 12-month planning horizon, we work in 30/30 Cycles: 30-day action sprints in which the team commits to a small number of specific, observable next moves — things that can be done with existing resources without new approvals — followed by a structured 30-minute learning conversation that asks three questions: What did we learn? What changed in our environment? What is the best next move given both? This is not a planning retreat. It is a management rhythm, embedded in the organization's regular operations.

Before any cycle begins, we run a structured Problem Framing session: mapping the stakeholders whose behavior shapes the challenge, surfacing the assets and relationships that already exist in the network and can be mobilized immediately, and identifying the adjacent possibles — the next moves that are both feasible and meaningful given current conditions. This phase regularly surfaces discoveries that surprise even senior leaders who have been living with the problem for years. Shared understanding of a complex problem, built collaboratively, produces a quality of ownership that no report can generate.

If your organization has completed a strategic planning process in the last three years and cannot point to measurable changes it produced — this is your scenario.

2. The Digital Transformation That Installed Technology Without Changing Anything

The situation. Your organization committed to a digital transformation initiative. You selected a platform, engaged an implementation partner, allocated budget, trained staff, and launched the new system. The technology works. The implementation was, by most technical measures, successful.

Yet the organization has not materially changed. Staff work around the new system in the same patterns they used with the old one. Data is being entered in the new platform but not used to make different decisions. Leadership still gets the same reports through the same informal channels. The transformation has been technically completed and strategically irrelevant.

The usual move. Implementation partners report a successful go-live. Leadership schedules additional training. A change management workstream is added — often retrospectively, after the technology is already deployed — to address adoption. Adoption metrics improve marginally. Behavior does not.

Why it doesn't work. Digital transformation is not a technology problem. Technology is the tool; transformation is the challenge. And transformation — changing how people work, how they share information, how they make decisions, how they relate to each other — is a complex, adaptive challenge. A 2022 experimental study of 815 participants published in the Journal of Business Research found that organizations which treat digital transformation as primarily a technical challenge and neglect the relational and people dimensions of leadership consistently underperform those that address both simultaneously (Weber et al., 2022). The same conclusion emerges from research comparing eight major change management models applied to digital transformation: resistance — not technical failure — is cited as the primary driver of the finding that only 38% of transformation programs are judged as entirely or mostly successful (Sharma, 2025). Research from leading digital champions at Amazon, Google, and Alibaba further found that successful transformation requires abandoning traditional linear strategy-then-execute processes in favor of iterative, experiment-driven approaches (Li, 2020).

The adaptive path. Acerola Strategies begins a digital transformation engagement not with system selection but with stakeholder mapping — understanding who shapes daily behavior, who holds informal authority, whose buy-in determines whether a change sticks. We run the Dynamic Doers Lab with the people who will live inside the new operating model: a structured two-day engagement that moves through three phases.

In the Problem Framing phase, participants map the system together — not the technology architecture, but the human architecture: who communicates with whom, where information currently gets stuck, which relationships carry the informal decision-making authority that formal org charts don't show. In the Action Design phase, the team generates specific 30-day commitments — concrete behavioral changes, owned by named individuals, that advance the transformation and will generate real information about what is working. In the Network Activation phase, we design the relational architecture for ongoing collaboration: who is in the core working network, how they communicate, and what the 30/30 Cycle learning rhythm will look like. Change is introduced in short, visible cycles that build confidence and surface resistance early — when it can still be addressed, not after the system is deployed and the budget is spent.

If your organization has invested in a major technology implementation in the past five years and is still working around it rather than through it — this is your scenario.

3. The Workforce Challenge That Training Cannot Solve

The situation. Your organization — or your sector — faces a persistent workforce challenge. There is not enough talent in the roles that matter most. Or the talent you hire does not stay. Or your workforce has skills that no longer match the demands of the work. You have invested in training programs, partnerships with universities, hiring initiatives, and recruitment marketing. The gap has not closed.

The usual move. The standard response is to analyze the skills deficit, identify the corresponding training content, deploy that training, and measure the results. This is a complicated-problem response. It assumes that the mismatch between workforce capabilities and organizational needs is a knowledge gap — and that knowledge gaps close when knowledge is delivered.

Why it doesn't work. Most persistent workforce challenges are not knowledge gaps. They are systemic mismatches between the conditions of work, the expectations of workers, the incentive structures of employers, the preparation capacity of educational institutions, and the economic realities of the communities from which workers come. Research on skill gap programs consistently shows that the relationship between training delivery and employment outcomes is weak when programs are not structurally integrated with employer needs, labor market conditions, and community-level barriers to participation (Habiyaremye et al., 2022). No training program addresses all of these simultaneously. And because these factors are interdependent — what happens in one affects all others — interventions that address only one dimension rarely produce lasting results.

Workforce development at sectoral or regional scale is a complex, adaptive problem. It requires collaborative action across employers, educational institutions, government agencies, and community organizations. No single actor controls the solution — which means no single actor can solve it alone.

The adaptive path. Acerola Strategies approaches workforce challenges by first mapping the full ecosystem of actors whose decisions shape the problem. We then use Strategic Doing — the discipline developed by Ed Morrison and the Strategic Doing Institute, with more than 2,000 trained practitioners globally — to create a collaborative network that can move in coordinated action cycles. Rather than prescribing a training program upfront, the Dynamic Doers Lab brings together representatives from across the workforce ecosystem — employers, training providers, community organizations, government agencies — to build a shared asset map: a picture of what resources, relationships, and capacities already exist in the network and can be mobilized immediately, without waiting for new budget or new approvals.

From that map, the group designs a set of 30-day action commitments — specific, owned, and tied to the actual barriers that are preventing people from entering and staying in the workforce. Each cycle generates real information about what the system needs next. The network meets regularly using the 30/30 learning rhythm to absorb what was learned and recalibrate the agenda. This is the methodology the Strategic Doing Institute has applied in regional workforce development contexts across the United States — and it produces results that isolated training programs do not.

If your organization or sector has invested consistently in workforce programs without closing the talent gap — this is your scenario.

4. The Change Initiative That the Organization Didn't Change For

The situation. Leadership committed to a significant organizational transformation — a new strategic direction, a cultural shift, a post-merger integration, a new operating model, a structural reorganization. Town halls were held. The vision was communicated. Trainings were delivered. Email updates went out regularly for months. On paper, the change was implemented.

In practice, nothing changed. The reorganization reshuffled the org chart without reshuffling relationships. The new strategic direction coexists with the old behavioral patterns. The "culture of collaboration" or "data-driven culture" or "customer-first culture" appears in internal communications and is largely invisible in daily decisions. Eighteen months after launch, the honest assessment is that the organization's culture looks essentially like it did before the initiative began.

The usual move. Organizations treat culture and organizational behavior as an implementation problem — communicate clearly, deliver training, hold people accountable through performance metrics, and the change follows. Additional communication campaigns are launched when momentum stalls. Additional training modules are added when behavior fails to shift. The investment deepens, and the results remain marginal.

Why it doesn't work. Organizational culture is not a policy or a communication campaign. It is the aggregate of thousands of daily interactions, informal networks, unspoken norms, and the accumulated behavior of people throughout the organization — and it operates as what researchers describe as a "cultural operating system" with multiple, interconnected layers of resistance. A 2025 systematic review synthesizing 73 sources found that single-layer interventions addressing only communication, training, or formal systems show just 12–31% success rates in producing lasting cultural change, while multilayer approaches — those that engage behavioral patterns, reward structures, and deeply embedded assumptions simultaneously — achieve 54–67% (Oyo, 2025). This gap explains why well-designed change programs fail: they address the surface layer of the cultural operating system and leave the underlying layers intact. Research on change implementation failure rates, summarized in a widely cited review, puts them consistently between 40% and 70% across industries and organization types — with employee resistance identified as the primary driver, not poor planning or insufficient resources (McKay et al., 2013). A 2025 synthesis of 87 empirical studies further found that employee responses to change initiatives actually worsen, on average, during the first year of implementation — making the standard timeline of "communicate → train → stabilize" structurally ill-suited to the challenge (Westover, 2025).

The adaptive path. Acerola Strategies approaches organizational change not as an implementation challenge but as an adaptive management challenge — which means engaging the informal networks, the daily behavioral patterns, and the trust relationships that actually shape how the organization operates, not just the formal structures that are supposed to. The Dynamic Doers Lab creates a structured experience where the people who will live through the change — not only the leaders who designed it — map the real barriers to the transformation together, identify the adjacent possibles that are actionable in the next 30 days, and build shared ownership of a concrete action agenda. This is not a communication exercise. It is the construction of the relational infrastructure that makes behavioral change possible.

Following the Lab, the 30/30 Cycle sustains momentum by embedding a learning rhythm into the organization's regular operations: 30-day action sprints focused on specific behavioral commitments, followed by 30-minute structured learning conversations that absorb what was discovered and recalibrate the agenda. The critical difference from conventional change management is that direction is set collaboratively and adjusted continuously — rather than declared from above and enforced through compliance. Culture changes when the people inside it change their patterns of interaction. The Dynamic Doers Lab and 30/30 Cycle are designed to build exactly that.

If your organization has announced a major transformation in the last two years and is honest about the gap between what was declared and what has actually shifted — this is your scenario.

5. The Higher Education Institution Losing Students It Cannot Afford to Lose

The situation. Enrollment is declining. Or retention is declining. Or both. The institution has conducted surveys, commissioned studies, and heard clearly from students what is driving attrition — financial pressure, sense of belonging, program relevance, mental health access, unclear career pathways. Leadership understands the problem. The problem has not resolved.

Targeted interventions — financial aid enhancements, student success programs, mentoring initiatives — have been implemented. Each has helped at the margin. None has bent the trend line.

The usual move. Higher education institutions approach enrollment and retention as operational problems. They study best practices at peer institutions, implement programs that have worked elsewhere, and measure results against benchmarks. They add staff and services in the areas students identify as pain points. They optimize each intervention individually.

Why it doesn't work. Student success at the institutional level is a complex, adaptive challenge that involves the intersection of financial circumstances, academic preparation, family dynamics, campus culture, faculty engagement, peer relationships, and the availability of support at precisely the moment it is needed. No single program addresses all of these factors. And because they are interdependent — a student who is financially stressed may not engage with mental health services; a student who feels disconnected from campus culture may not ask for academic support — optimizing each intervention in isolation produces marginal improvements in each dimension and insufficient improvement overall. The wicked problems literature describes exactly this dynamic: "many strategy scholars approach wicked problems in the same way they approach business problems — by building causal models that seek to optimize some form of organizational success," an approach that "ironically divorces firms from the very social-ecological context that makes the problem wicked" (Grewatsch et al., 2021). Student retention is that kind of problem.

The adaptive path. Acerola Strategies works with higher education institutions to build the internal collaborative infrastructure that makes adaptive student success possible. The Dynamic Doers Lab convenes a cross-functional team — connecting financial aid, academic affairs, student life, counseling, and faculty representatives — to engage the student persistence challenge as a shared network problem rather than a set of siloed program responsibilities. In the Problem Framing phase, participants map the actual pathways through which students disengage — not the theoretical pathways described in national literature, but the specific dynamics operating at this institution, in this community, with this student population.

In the Action Design phase, the team builds a live action agenda: 30-day commitments owned by specific people that advance coordination across those siloed support functions and generate new information about where early intervention is most needed. In the Network Activation phase, we design the ongoing communication architecture and the 30/30 Cycle learning rhythm that allows the team to absorb signals from students in near-real time and adjust without waiting for annual assessment cycles. The goal is not a new student success program. It is an adaptive organizational capacity — the ability to recognize struggling students early, coordinate across services, and respond as the student's situation evolves.

If your institution has implemented student success programs and is still watching the same students leave — this is your scenario.

6. The Sustainability Commitment That Produces Reports, Not Results

The situation. Your organization has made sustainability commitments. You have established environmental goals, launched internal initiatives, reported progress to stakeholders, and allocated budget to sustainability-related projects. Your emissions have not materially decreased. Your supply chain has not fundamentally changed. Your sustainability report is honest about progress on the initiatives you have launched and quiet about the distance between those initiatives and the outcomes you have committed to.

The usual move. Sustainability is typically approached as a technical and compliance challenge — measure the emissions, set the targets, identify the interventions, implement them, report the results. Organizations hire sustainability consultants who specialize in measurement frameworks, reporting standards, and best-practice interventions. The report becomes the primary deliverable.

Why it doesn't work. Genuine organizational sustainability — reducing emissions materially, transforming supply chains, building circular business models — is a complex, adaptive challenge that spans organizational culture, supplier relationships, customer behavior, regulatory environments, and capital allocation. Research published in Scienceexamining ecosystem management — a structurally analogous challenge — found that complex, multi-stakeholder resource challenges resist technical solution because they involve interdependencies that "cannot foresee all consequences of interventions across different spatial, temporal, and administrative scales," and that progress requires "multisector decision-making, collaborative processes to engage diverse stakeholders, and adaptive management" rather than technical formula application (DeFries & Nagendra, 2017). Strategy scholars studying wicked problems make the same point more directly: reductionist approaches that optimize on a single dimension of a complex system — as most sustainability programs do — generate partial results while leaving the underlying system intact (Grewatsch et al., 2021). A sustainability report is documentation of the optimization. The system that produces the emissions continues.

The adaptive path. Acerola Strategies works with organizations to move beyond sustainability reporting and into sustainability transformation — using adaptive management principles to engage the full network of actors whose decisions shape environmental outcomes. The Dynamic Doers Lab brings together representatives from operations, procurement, finance, and external supply chain partners — the people whose daily decisions actually determine the organization's environmental footprint — to build a shared picture of where the highest-leverage intervention points are and what the adjacent possibles look like.

Rather than a sustainability plan with a five-year horizon, the Action Design phase produces a set of 30-day action cycles that generate visible momentum, surface real barriers, and build the cross-stakeholder trust that transformation requires. Each cycle produces new information about what is actually constraining progress — information that a measurement framework cannot generate because it measures outcomes, not the adaptive dynamics producing them. The Network Activation phase connects internal champions with supply chain partners and community stakeholders who have both a stake in and influence over the outcomes the organization is trying to achieve.

If your organization's sustainability commitments are more visible in your reports than in your operations — this is your scenario.

7. The Innovation Initiative That Couldn't Get Off the Ground

The situation. Your organization — or your sector — recognized the need to innovate. You created a dedicated innovation unit, launched an incubator or accelerator, established a fund, or entered into partnerships with universities and startups. You convened the right people and produced promising ideas.

The ideas never became anything. Or they became pilots that never scaled. Or the innovation unit became isolated from the core organization, producing results that the core organization never adopted. The investment in innovation has not translated into organizational transformation.

The usual move. Innovation is often treated as a pipeline problem — generate enough good ideas, and some will survive to become real. Organizations invest in ideation processes, innovation labs, design thinking workshops, and startup partnerships. When the pipeline fails to produce scaled results, they invest in better ideation.

Why it doesn't work. Innovation at organizational scale fails not in ideation but in adoption — and adoption is a complex, adaptive challenge involving the alignment of people with different interests, risk tolerances, and relationships to change. Research published in Harvard Business Review found that organizations tackling "wicked problems" requiring radical innovation must combine "an adaptable vision, psychological safety, knowledge sharing, and collaborative innovation" — a set of relational conditions, not a process framework (Edmondson, 2016). A linear pipeline model assumes ideas flow naturally from generation to adoption if they are good enough. They do not. Good ideas fail constantly because the social and organizational conditions for their adoption do not exist. Research on wicked problem typologies further shows that "one-size-fits-all" approaches — the standard design thinking workshop, the innovation sprint — fail because they do not account for the specific stakeholder configuration and power dynamics that shape what can actually be adopted in a given context (Alford & Head, 2017).

The adaptive path. Acerola Strategies approaches innovation capacity as a network-building challenge, not an idea-generation challenge. The Dynamic Doers Lab creates the collaborative conditions that connect innovators with decision-makers, operations with strategy, and internal champions with external partners — building the relationships and shared ownership that allow promising ideas to move from concept to adoption. In the Problem Framing phase, we map the actual decision pathways through which new initiatives move (or fail to move) inside the organization — surfacing the informal veto points and the unstated criteria that determine what gets resourced. In the Action Design phase, we build 30-day commitments that advance specific innovation priorities and create visible momentum — the kind that changes the internal narrative from "we have a lab that generates ideas" to "we have an active network that tests and adopts them."

Rather than a one-time innovation sprint, the Network Activation phase designs the ongoing collaborative structure — connecting the innovation function to the parts of the organization that control resources and implementation decisions — and establishes the 30/30 Cycle rhythm that keeps the network active, responsive, and aligned with the organization's evolving priorities.

If your organization has invested in innovation programming and is still waiting for it to change the way you work — this is your scenario.

How Acerola Strategies Actually Works

The seven scenarios above share a structure: a genuine organizational need, a legitimate investment, and a persistent problem that survived the investment. Before accepting an engagement, Acerola Strategies conducts a Complexity Diagnostic — a structured assessment that determines whether your challenge is genuinely complex, what the specific stakeholder and relational dynamics driving it are, and whether adaptive management is the right approach or whether a more traditional expert-led solution would serve you better. Not every problem Acerola encounters is a complex one. For those that are not, we say so and point the client toward the appropriate resource.

For complex challenges, our work proceeds through three integrated components.

The Dynamic Doers Lab. Our signature delivery vehicle is an intensive, action-oriented process — typically run over two days on-site, adapted to the specific context and stakeholder profile of each engagement. It moves through three phases.

Problem Framing is the foundation. Before any solutions are generated, the Lab facilitates a structured conversation about the actual shape of the challenge: who the key stakeholders are, what assets and relationships already exist in the network that can be mobilized without new approvals or new budget, and what the adjacent possibles are — the next moves that are both feasible and meaningful given current conditions. This phase regularly surfaces discoveries that surprise even senior leaders who have lived with the problem for years. Complex problems resist clean framing. The discipline of mapping them together — rather than individually — creates a quality of shared understanding that no report can generate.

Action Design translates that shared understanding into a live agenda. The team generates specific, actionable commitments: things that can be done in the next 30 days, owned by named individuals, that advance the challenge and will generate information about what is true in the current environment. These are not aspirations or workplan items. They are concrete next moves — small, fast, and specific rather than comprehensive and slow. The discipline is in committing to what can actually be done rather than designing what would ideally be done.

Network Activation builds the relational architecture for ongoing collaboration: who needs to be in ongoing conversation, how the network will communicate, who holds accountability for what, and what the ongoing learning rhythm looks like. The Lab ends not with a report but with a live action agenda, an active network, and a team that has practiced — not just been told — what adaptive management looks and feels like.

What clients leave with. Organizations that complete a Dynamic Doers Lab engagement leave with four things: a live action agenda with 30-day commitments owned by specific people; an asset map showing what resources, relationships, and capabilities already exist in their network and can be mobilized immediately; a 30/30 learning rhythm designed for their specific context and challenge; and — most difficult to quantify but most important in practice — a team that has experienced adaptive collaboration firsthand, and that can recognize it, name it, and reproduce it.

The 30/30 Cycle. Following the Lab, the 30/30 Cycle is the operational heartbeat that sustains adaptive work over time. Every 30 days, the team executes a small set of specific, pre-committed actions. Every 30 days, they pause for exactly 30 minutes to ask: What did we learn? What changed? What is the best next move? The time constraint is deliberate — 30 minutes is enough to extract the signal without sliding into open-ended discussion that produces little. The cycle embeds adaptive learning into the organization's regular rhythm rather than treating it as a special event. Organizations that build this kind of structured learning loop into their operations achieve materially higher implementation rates on complex initiatives than those relying on upfront planning alone.

The Strategic Doing foundation. Acerola Strategies' methodology integrates Strategic Doing — a discipline developed by Ed Morrison and the Strategic Doing Institute, now practiced by more than 2,000 trained practitioners globally, and grounded in peer-reviewed research on network-based strategy in complex environments. Dr. Ubaldo M. Córdova-Figueroa, founder of Acerola Strategies, is a Fellow of the Strategic Doing Institute — one of a select group of practitioners globally authorized to design and facilitate Strategic Doing processes at full depth. This is not a generic facilitation practice. It is a specific, evidence-based methodology for building the collaborative conditions under which complex problems can be advanced.

Engagement formats. Acerola Strategies offers the Dynamic Doers Lab as a standalone intensive engagement or as the anchor of a longer advisory relationship. The Lab can be delivered in half-day virtual format, full-day on-site, or multi-session cohort formats depending on the challenge, the stakeholder configuration, and the organization's context. For organizations navigating multi-sector or cross-institutional challenges — where no single organization owns the solution — we design network-level engagements that convene the relevant ecosystem of actors rather than working within a single organization.

The First Conversation

The most valuable next step is a clarity conversation — not a proposal, not a commitment, but a structured 60-minute dialogue in which we help you determine whether your challenge is complex, whether adaptive management is the right approach, and whether Acerola Strategies is the right partner for the work.

The conversation is complimentary. The clarity, we have found, is worth more than most organizations expect.

Contact us at info@acerolastrategies.com or visit acerolastrategies.com to schedule.

Research References

The peer-reviewed literature cited throughout this document:

Ubaldo M. Córdova-Figueroa https://www.ubaldocordova.com