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The Solution Design Framework

Clarity, Structure, and Momentum for Solving What Matters Most

The Solution Design Framework is a structured thinking and execution framework for translating complex business problems and opportunities into actionable, scalable solutions. It's designed for situations where the path forward isn't obvious, where surface-level fixes fall short, and where deeper insight, structured alignment, and rigorous execution are required.

This framework brings a consistent methodology to uncovering root causes, defining strategic challenges, and engineering high-ROI solutions. It gives teams a shared language and mental model to move from ambiguity to action—fast, clearly, and effectively.

The Solution Design Framework is used to:

Diagnose and untangle complex, interdependent issues

Identify meaningful opportunities hidden within operations, systems, or customer journeys

Convert loosely defined pain points into structured, high-value solution spaces

Develop and deliver scalable solutions through concept design, validation, and execution

" The Solution Design Framework is not a theory or abstraction—it's a practical sequence built to help decision-makers and operators move forward with confidence and clarity. It adapts to cross-functional use cases, supports both strategic and tactical problem solving, and allows for modular implementation depending on context and stage. "

Solution Design Framework Overview

At its core, the Solution Design Framework answers a simple but essential question: "What's the smartest, clearest way to move from challenge to solution—without wasting time, resources, or momentum?"

Stage 1: Identify Problems & Opportunities

Identify pain points, inefficiencies, and areas of untapped value

Key Questions:

What's slowing us down? Where are we wasting time or resources? Where could we be doing more with what we already have?

Output:

Clear list of business-relevant problems and opportunities

Stage 2: Investigate Root Causes & Dependencies

Surface the true drivers and systemic factors behind what's happening

Key Questions:

What's underneath this issue? Who or what is involved in making change possible? Where are the real points of failure?

Output:

Root cause map with relevant people, tools, and processes

Stage 3: Group & Prioritize

Organize insights into focus areas and determine what matters most

Key Questions:

What's related? What rises to the top in terms of value, urgency, and feasibility? Are we aligned on what to solve first?

Output:

Grouped themes, impact/effort map, or scored list

Stage 4: Translate Into Challenges

Frame the right problems to solve in a way that guides thinking and action

Key Questions:

Is this challenge framed around outcomes? Does it reflect real constraints? Is it broad enough for innovation, but focused enough to act on?

Output:

Well-formed challenge statements

Stage 5: Develop Approaches

Generate viable, creative paths to address the challenge

Key Questions:

What are the possible ways forward? Which ones fit the context, capabilities, and goals?

Output:

Prioritized list of strategic approaches

Stage 6: Define Solutions

Build implementable, validated solutions designed for near-term and long-term ROI

Key Questions:

What does success look like? How do we validate early and scale later? Are we designing for flexibility, speed, and sustainability?

Output:

De-risked, staged solution plans with clear criteria

Stage 1: Identify Problems & Opportunities

Pinpoint what's holding the business back—or what could propel it forward.

The first step in the Solution Design Framework is to define what's worth solving. This means identifying the problems that create measurable friction or risk, and surfacing the opportunities that represent untapped value or strategic upside.

This stage requires moving beyond vague complaints or open-ended goals. It's about surfacing the right inputs to work on—those with enough significance, urgency, or potential return to justify structured attention and resource investment.

Problems

Problems are recurring inefficiencies, constraints, or breakdowns that degrade performance, increase cost, or limit growth.

Guidelines:
  • • Focus on the impact
  • • Separate symptoms from root problems
  • • Validate with data and observation
  • • Be precise with language
Opportunities

Opportunities represent leverage points—places where the organization can unlock growth, efficiency, or strategic advantage.

Guidelines:
  • • Look at external forces
  • • Consider internal strengths
  • • Evaluate competitive gaps
  • • Tie to specific outcomes
Problem Statement Examples

Poor Statement:

"Our onboarding process is a mess."

Refined Statement:

"Customer onboarding takes an average of 14 days, resulting in a 22% drop-off rate before activation."

Opportunity Statement Examples

Vague Statement:

"We should improve customer retention."

Refined Statement:

"Competitors using AI-powered personalization have increased customer retention by 20%. We currently lack personalization capabilities in post-sale communications."

Examples of Problems and Opportunities
TypeExampleWhy It Matters
Problem"Manual invoice processing is delaying payments by 10–15 days, causing friction with vendors."Clear financial impact and operational drag
Problem"Internal ticketing takes 4+ touchpoints before resolution, frustrating both users and IT."Reveals a need for better routing and workflow logic
Opportunity"We have clean access to historical performance data that hasn't been centralized for analysis."Unused asset that could support better decisions
Opportunity"Customers have shown interest in live onboarding, but we haven't explored real-time support."Direct customer signal tied to conversion potential
Problem Discovery Checklist

Use this to uncover where friction and failure points exist in your current workflows or systems.

  • • Where are delays, rework, or confusion happening most often?
  • • What problems keep getting escalated, flagged, or revisited?
  • • What processes consistently break down under volume, pressure, or scale?
  • • Where do mistakes, handoffs, or breakdowns regularly occur?
  • • What are people manually working around—or actively avoiding?
  • • Are there persistent gaps between expectations and actual delivery?
  • • Do performance metrics show recurring underperformance in key areas?
Opportunity Discovery Checklist

Use this to identify untapped potential, leverage points, or strategic gaps.

  • • Where is customer demand or expectation increasing—but not being met?
  • • What internal strengths, assets, or workflows aren't being fully utilized?
  • • Where could optimization unlock higher margin, speed, or efficiency?
  • • What outcomes are stakeholders asking for that don't yet exist?
  • • Where are competitors operating faster, cheaper, or more intelligently?
  • • Are there shifts in behavior, tools, or market trends we've yet to capitalize on?

Stage 2: Investigate Root Causes & Dependencies

Understand what's really driving the problem—or blocking the opportunity.

Most issues are caused by a small set of underlying factors that drive larger patterns of inefficiency, friction, or missed potential. This stage focuses on uncovering the true root causes and understanding the systems, tools, and processes they depend on.

Effective solutions start with clear diagnosis. This step ensures you're not solving the wrong thing—or building on broken foundations.

Failure Mapping

Chronologically map breakdowns or errors over time to find patterns in when and how issues arise.

Use when:

You have recurring failures or escalating issues, but unclear causes.

What it highlights:
  • • Trigger events
  • • Process gaps that allow errors
  • • Latent weaknesses in scale, speed, or visibility
Data-Driven Pattern Analysis

Use performance, error, or workflow data to surface trends that can point to deeper issues.

Use when:

You have access to logs, metrics, or historical performance records.

What it enables:
  • Objective view of problem areas
  • • Quantified root cause signals
  • • Validation of hypotheses with hard data
Root Cause & Dependency Examples
Surface IssueRoot CauseKey Dependencies
Sales follow-ups are inconsistentNo standardized post-demo workflowCRM logic, SDR workflow, team availability, content library
High employee churn in one departmentPoor onboarding and unclear expectationsHR onboarding, manager training, performance reviews
Product usage drops after trialUsers lose context or momentum after setupIn-app messaging, email automation, CS handoff, analytics
Ops process stalls under volumeManual routing for multi-team approvalsPermissions setup, workflow engine, escalation rules
Root Cause Checklist

Use this to identify the real issue behind what you're seeing.

  • • Have we asked "why" enough times to get past the surface and uncover the actual cause?
  • • What causes repeated delays, confusion, or rework?
  • • Where are mistakes or errors happening most often?
  • • What gets flagged, escalated, or complained about over and over?
  • • Where does the process consistently slow down, break, or fall through the cracks?
  • • What are people manually working around instead of using the system as intended?
  • • What tools, teams, or approvals are creating friction or dependency?
Dependency Mapping Checklist

Use this to surface what the solution must account for.

  • • Who is involved in making this work today?
  • • What systems, tools, or workflows will need to change or stay aligned?
  • • What other teams, partners, or vendors interact with this process?
  • • What data inputs or outputs are required?
  • • What policies, rules, or approval processes will influence success?
  • • Who needs to be consulted, informed, or trained?

Stage 5: Develop Approaches

From insight to intent: shaping how we solve the challenge.

Once a challenge is clearly framed, the next step is to explore multiple ways it could be solved—then narrow in on the most promising. Strategic approaches are not yet full solutions; they're structured concepts that outline direction, intent, and tradeoffs.

This is the bridge between the challenge and the actual solution.

What Makes an Effective Approach?

A strong approach is:

  • • Aligned with the challenge and its root causes
  • • Feasible within real-world constraints (time, cost, talent, etc.)
  • • Scalable enough to drive meaningful ROI beyond a one-time fix
  • • Flexible to evolve into different solution formats
Each approach needs to include:
  • • A core idea or method (e.g. automate, consolidate, restructure)
  • • A reasoning path (why it fits the challenge)
  • • Early consideration of constraints, feasibility, or resources
Key Considerations When Designing Approaches
  • Who is impacted? (Users, teams, systems)
  • What resources are available? (Data, tools, budget, skills)
  • What change is required? (Behavioral, technical, organizational)
  • What constraints must be respected? (Regulatory, budgetary, timeline)
  • How will we measure if it works? (KPIs, milestones, qualitative feedback)

Approach Archetypes

Automate

Remove repetitive manual work

Streamline

Reduce steps or complexity

Centralize

Bring things into one place

Augment

Add visibility, intelligence, or insight

Restructure

Change the sequence, model, or ownership

Decentralize

Empower teams with autonomy

Outsource

Shift ownership of effort externally

Divergent & Convergent Thinking

Approach development benefits from two mental modes:

Divergent Thinking

Generate as many potential approaches as possible, even ones that seem out of scope or impractical at first.

Brainstorming techniques:
  • • "What if we did the opposite?"
  • • "How would a startup tackle this?"
  • • "How might we use what we already have differently?"
Convergent Thinking

Narrow down ideas by filtering based on criteria.

Filter based on:
  • • Alignment with goals
  • • Ease of implementation
  • • Potential for ROI
  • • Risk and complexity
  • • Speed to value
Compare-and-Contrast Models

Lay out multiple directional options side-by-side to clarify trade-offs.

Approach OptionStrengthRisk or ConstraintBest Fit For
Automate onboarding stepsSpeeds up deliveryRequires upfront dev timeHigh-volume onboarding environments
Centralize tracking dashboardsEasier visibilityMay slow team autonomyExecutive visibility challenges
Build role-specific playbooksEasier handoffsRequires trainingCross-functional alignment issues
Common Strategic Approach Types
Approach TypeDescriptionExample Use Case
Process ReengineeringRethinking and redesigning workflows from the ground upReplacing multi-step approvals with auto-routing rules
Automation InjectionUsing RPA, scripts, or triggers to reduce manual effortAuto-generating reports from real-time system data
System IntegrationConnecting siloed tools or platformsSyncing CRM and finance systems for unified reporting
Role RedesignShifting responsibilities or team structuresMoving support triage from email to dedicated Slack channels
Self-Service EnablementEmpowering users with tools, templates, or interfacesGiving managers access to editable forecasting dashboards
Checklist: Is the Approach Worth Pursuing?
  • • Does it address the root cause, not just the symptoms?
  • • Can it scale to other teams or contexts if it works?
  • • Is it realistic to prototype or validate in a short timeframe?
  • • Does it create measurable value if successful?
  • • Can we explain it clearly in one sentence?

Stage 6: Define Solutions

From approach to execution: designing the real-world answer.

A solution is a specific, validated, and actionable implementation of a strategic approach. It accounts for real-world constraints, defines success clearly, and is engineered for measurable business impact.

Solution Formats & Examples

Workflow Automation

Scripted task automation, RPA, or low-code routines

Example: Automating invoice validation and approval routing

System Integration Layer

APIs or sync processes that unify platforms

Example: Connecting HRIS, payroll, and scheduling tools

Enablement Tools

Templates, dashboards, or knowledge systems

Example: Real-time inventory dashboard for ops managers

Service Redesign

Changes to delivery model or service interaction

Example: Shifting support triage to a priority-based chatbot

Digital Product or Feature

A new application or internal tool

Example: Creating a supplier onboarding portal

What Makes a Great Solution?
Immediate ROI

Clear, measurable outcomes on a short time horizon

Long-Term Value

Built to scale, evolve, and sustain value over time

Feasibility

Can be delivered with available resources and within constraints

Adaptability

Modular and flexible enough to evolve with business needs

The Solution Design Framework Summary

A clear path from insight to impact.

The Solution Design Framework provides a clear, repeatable path from complexity to clarity—transforming scattered problems and untapped opportunities into strategic, high-impact solutions. This framework is designed to be applied flexibly across industries and use cases, while providing shared clarity around what each stage means, why it matters, and how to execute it well.

How This Framework Helps

Clarity

Everyone speaks the same language about where we are and what's next

Speed

Cut through confusion and opinion with a clear process

Impact

Build smarter solutions that solve for both ROI and risk

Scalability

Apply this process from quick wins to enterprise-wide transformations

Apply It Across the Business

This framework is designed to work across growth, strategic, operational, and creative projects. Whether you're designing a new marketing engine, automating internal processes, or tackling a large-scale transformation, this gives you a common structure to align teams, move faster, and deliver better outcomes.

Ready to Apply the Solution Design Framework?

Let's work together to solve your most complex business challenges with clarity and precision.