90-Day Maturity Uplift Plan

90-Day Maturity Uplift Plan

Primary Category: Decision Governance & Organizational Maturity

Secondary Focus: Decision Architecture, Accountability, and Execution Alignment

Artifact Profile

The 90-Day Maturity Uplift Plan is a structured planning artifact designed to rapidly strengthen how an organization makes, governs, and executes decisions. It takes a maturity-based view of decision practices across governance, execution, analytics, andlearning, then converts identified gaps into a focused, outcome-driven roadmap.

Using your inputs on current maturity, priority decision domains, available resources, and strategic constraints, the artifact produces a 90-day decision improvement plan that concentrates leadership attention where rigor is breaking down. Rather than prescribing a generic transformation approach, it provides a practical starting point for strengthening accountability, improving decision speed, and reinforcing long-term decision architecture.

This artifact is built for leaders who need measurable improvement in decision quality, speed, and governance without launching a multi-year transformation program. It helps organizations movefrom diagnosis to disciplined action while maintaining strategic alignment.

Three Key Questions This Artifact Helps You Answer

•Where are our most critical decision maturity gaps today, and which ones present the greatestrisk if left unaddressed?

•Which decision domains will deliver the highest near-term impact if improved over the next 90 days?

•Given our resources and constraints, what actions can we realistically take now to improvedecision quality, speed, and governance?

What This Framework Supports

This artifact supports organizations seeking:

• Rapid improvement in executive and operational decision-making capability

• Clear identification of maturity gaps across governance, execution, analytics, and learning

• Focused prioritization of high-impact decision domains within near-term constraints

• Alignment between short-term actions and long-term decision architecture

How It Is Used

The artifact provides a structured 90-day planning framework that guides leaders through:

• Assessing current decision maturity across key organizational dimensions

• Identifying where rigor, accountability, or governance is breaking down

• Selecting decision domains that offer the highest near-term leverage

• Converting maturity gaps into a prioritized roadmap with clear actions, ownership, and constraints

This enables organizations to strengthen decision quality, speed, and governance in a defined time horizon without launching a multi-year transformation program.

What This Produces

•A focused 90-day decision improvement roadmap

•Prioritized actions aligned to identified maturity gaps•Clear accountability for leadership execution

•Alignment between near-term improvements and long-term decision architecture

Common Use Cases

• Accelerating slow, inconsistent, or contested executive decisions

• Improving decision governance and escalation clarity

• Strengthening portfolio, capital allocation, or investment decisions

• Aligning leadership on accountability and decision ownership

• Creating momentum in stalled or fragmented transformation initiatives

How This Artifact Is Different

Unlike generic transformation plans or consulting frameworks, this artifact focuses specifically on decision capability. It is maturity-driven, constraint-aware, and designed to deliver measurable improvement in how decisions are governed and executed within a defined 90-day window without over-engineering the solution.

Related Framework Areas

This artifact is commonly used alongside other SolveBoard frameworks focused on:

• Decision boundary design and escalation governance

• Executive communication and decision reporting

• Performance monitoring and operational execution control

• Strategic alignment and organizational accountability

Related Terms

Decision governance, executive decision-making, organizational maturity model, transformationroadmap, strategic decision architecture, portfolio decision frameworks, leadership accountability, operational decision design.

Framework Classification

This artifact is part of the SolveBoard library of structured decision and governance frameworks. It is designed as a repeatable maturity-based planning framework for strengthening organizational decision capability rather than a generic transformation plan or consulting template.

90-Day Maturity Uplift Plan: Accelerate Decision Capability

A structured 90-day program for diagnosing decision maturity gaps and executing targeted improvements

Definition

The 90-Day Maturity Uplift Plan is a governance and execution artifact for rapidly improving an organization’s decision capability. It structures how current maturity is assessed, priority gaps are identified, targeted interventions are sequenced, and improvements are institutionalized within a fixed 90-day horizon. Within SolveBoard, this artifact positions the 90-day plan as a decision and governance tool rather than a generic transformation roadmap.

When to Use

• When decision processes are inconsistent, slow, or poorly governed

• When leadership needs visible improvement in execution within a short timeframe

• When maturity gaps are known but not systematically addressed

• When a practical starting point is required before larger transformation efforts

When Not to Use

• When only minor, isolated improvements are required

• When immediate crisis action is required without time for assessment

• When the effort is purely exploratory or conceptual

Common Mistakes

• Attempting too many initiatives without prioritization

• Focusing on tools instead of decision behaviors and governance

• Failing to assign ownership and accountability for execution

Purpose of the 90-Day Maturity Uplift Plan

The purpose of the 90-Day Maturity Uplift Plan is to create focused momentum in improving decision quality, speed, and governance. It ensures that maturity gaps are translated into actionable initiatives, sequenced logically, and reinforced through ownership, metrics, and review.

How to Apply

• Assess current decision maturity across defined capability dimensions

• Identify priority gaps that most constrain performance

• Design targeted initiatives aligned to governance, execution, and accountability

• Sequence actions across 30–60–90 day phases

• Track outcomes and institutionalize effective practices

Example Scenario

An executive team finds that major initiatives stall due to unclear ownership and weak performance signals. Using a 90-day uplift plan, they assess decision rights, KPI alignment, and review cadence, then deploy targeted changes in the first 30 days, expand accountability in the next 30, and institutionalize governance by day 90. Execution reliability improves and decisions move faster with greater confidence.

Boundaries

This artifact does not replace long-term transformation programs. It is designed for rapid, focused improvement of decision capability and governance, serving as a foundation for broader organizational change.

What This Artifact Does

Provides a structured framework for assessing decision maturity, prioritizing gaps, and executing targeted improvements over 90 days.

You Provide

(You may provide some, all, or none of the items below. Partial inputs are valid.)

• Current decision processes and governance structures

• Known pain points, delays, or quality issues

• Strategic priorities and performance objectives

• Constraints, risks, and desired outcomes

• Written descriptions or pasted text

• Links to operating models, dashboards, or reports

• Files, PDFs, spreadsheets, images, and other uploads (always acceptable)

• Optional context notes

Core Question

What specific actions over the next 90 days will most effectively improve decision quality, speed, and governance?

Decision Logic

• If maturity gaps are unclear → Perform focused assessment

• If too many initiatives exist → Prioritize by decision impact

• If improvements lack traction → Reassign ownership and metrics

What the Output Means

• Clear diagnosis of decision maturity gaps

• Sequenced 30–60–90 day action plan

• Defined ownership, metrics, and review mechanisms

Do Not Use When

• Decision processes are already mature and stable

• Issues are isolated and do not require coordinated action

• The effort is exploratory rather than execution-focused

You do not need to complete every section below. Provide only the information you have available or wish to provide. The AI will generate output using only the inputs you supply and will not assume or infer missing information.

Section 1 — Current Decision Processes and Governance

What This Input Represents

How decisions are currently made, governed, and reviewed.

If You Have Materials, You May Provide (List file names here in your input document):

• Operating models

• Governance frameworks

• Decision rights matrices

• Process documentation

Guiding Questions:

• How are major decisions made today?

• Where are roles, authority, or accountability unclear?

• What governance structures currently exist?

Section 2 — Observed Pain Points, Delays, or Quality Issues

What This Input Represents

Where decision processes are failing or underperforming.

If You Have Materials, You May Provide (List file names here in your input document):

• Issue logs

• Post-implementation reviews

• Audit findings

• Performance reports

Guiding Questions:

• Where do decisions stall or break down?

• What types of decisions produce poor outcomes?

• Which problems most constrain execution?

Section 3 — Strategic Priorities and Performance Objectives

What This Input Represents

What leadership most wants to improve through better decisions.

If You Have Materials, You May Provide (List file names here in your input document):

• Strategic plans

• OKRs or KPIs

• Executive priorities

• Performance dashboards

Guiding Questions:

• What strategic objectives must be supported?

• Which outcomes matter most in the next 90 days?

• How will success be measured?

Section 4 — Constraints, Risks, and Desired Future State

What This Input Represents

Boundaries and targets that shape what can be changed.

If You Have Materials, You May Provide (List file names here in your input document):

• Risk registers

• Budget constraints

• Policy or regulatory requirements

• Transformation roadmaps

Guiding Questions:

• What constraints limit possible actions?

• What risks must be managed?

• What does a better decision system look like after 90 days?

Section 5 — Supporting Context, Files, and References

What This Input Represents

Any additional information that would help the AI interpret your decision environment accurately.

You May Include (List file names here in your input document):

• Operating dashboards

• Governance playbooks

• Leadership communications

• Links to internal tools or reports

• Pasted text or excerpts

Additional Instructions (Optional)

You may add extra instructions to further shape the output, including:

Requesting PDF or other output formats
Limiting page length or response size
Layout preferences (section order, headings, structure, templates)
Specifying tone, style, or format (executive, concise, detailed, formal, etc.)
Output consistency preferences (fixed structure, standardized phrasing, strict formatting)
Prioritization or scoring preferences (how gaps, risks, or actions should be ranked)
Desired mode behavior as outlined in the section below
Any other constraints, rules, or priorities relevant to your use case

If included, the AI will follow these instructions when they do not conflict with the bridge’s execution rules. More specific instructions generally produce more consistent, repeatable, and targeted outputs.

Desired Mode Behavior

Strict Mode

• Maximize determinism and repeatability
• Minimize wording variation, structure changes, and interpretive flexibility
• Do not extend beyond explicit user inputs

Balanced Mode (Default)

• Maintain structure and discipline
• Allow limited analytical judgment where inputs are incomplete
• Do not introduce external assumptions

Exploratory Mode

• Expand hypothesis space and analytical angles
• Surface alternative interpretations and scenario paths
• Still grounded only in user-provided inputs

If no mode is specified, default to Balanced Mode.

What This Enables

Based on your prepared inputs, this artifact will produce a sequenced 30–60–90 day action plan that identifies decision maturity gaps, prioritizes high-impact interventions, and defines ownership, metrics, and review cadence to institutionalize improvement.

Canonical Input Rule (For All SolveBoard Artifacts)

Documents are optional. Sections may be partially completed or left blank. Structured answers to any subset of guiding questions constitute valid input. The AI will evaluate only provided information and will not infer missing content.

AI Execution Instructions

You are operating in Bridge Execution Mode. Follow these rules exactly. Do not reinterpret, summarize, optimize, or override them. Do not introduce external knowledge, assumptions, or inferred content. Evaluate only user-provided inputs. If required information is missing or ambiguous, flag it rather than guessing. Output must follow the defined Output section exactly.

Users may provide some, all, or none of the input sections. Process only what is explicitly provided. Treat empty sections as intentionally omitted.

Purpose

Apply the 90-Day Maturity Uplift Plan to assess decision maturity, prioritize gaps, and design a sequenced execution roadmap.

What This Bridge Answers

What must be done in the next 90 days to measurably improve how decisions are made, governed, and executed?

Inputs (All Optional)

• Description of current decision processes and governance

• Observed issues, delays, or quality problems

• Strategic objectives and performance priorities

• Constraints, risks, and desired future state

• Files, PDFs, spreadsheets, images, links, or other uploaded material

• Context notes

Note: Output Quality and specificity scale with input completeness. The user has been informed of this via the input sheet.

Processing Rules

A valid 90-Day Uplift output must satisfy all of the following:

• Decision maturity gaps are explicitly identified

• Actions are prioritized by impact on decision quality and speed

• Initiatives are sequenced into 30–60–90 day phases

• Ownership, metrics, and review mechanisms are defined

When inputs are sparse:

• Produce the most complete output possible with available data

• Explicitly flag what's missing and how additional inputs would enhance the analysis

• Do not infer or assume missing information

Execution Steps

• Assess current decision maturity and governance

• Identify and prioritize critical gaps

• Design targeted initiatives for each gap

• Sequence initiatives across 30–60–90 day phases

• Define ownership, metrics, and review cadence

Output

• Decision maturity assessment

• Prioritized gap list

• 30–60–90 day action roadmap

• Ownership, metrics, and governance structure

Failure Conditions / Misuse

• Actions are not linked to identified maturity gaps

• Roadmap lacks prioritization or sequencing

• Ownership and follow-through are not defined

Mode Behavior (From Input Sheet)

Strict Mode

• Maximize determinism and repeatability
• Minimize wording variation, structure changes, and interpretive flexibility
• Do not extend beyond explicit user inputs

Balanced Mode (Default)

• Maintain structure and discipline
• Allow limited analytical judgment where inputs are incomplete
• Do not introduce external assumptions

Exploratory Mode

• Expand hypothesis space and analytical angles
• Surface alternative interpretations and scenario paths
• Still grounded only in user-provided inputs

If no mode is specified, default to Balanced Mode.

Additional Instruction Governance

User-provided additional instructions must be followed exactly unless they conflict with core Bridge Execution Rules. If a conflict exists, Bridge Execution Rules take priority.

Additional instructions may control format, tone, structure, length, or ordering, but must not introduce inferred content, external knowledge, or speculative assumptions.

If instructions are ambiguous, flag ambiguity rather than guessing.

Additional Instructions Execution Rule

If the user provides instructions in the Additional Instructions field, they are binding execution constraints.

Failure to follow them constitutes a Bridge Execution Failure.

Reminder to AI: If a format is requested (e.g., PDF, DOCX), the final output MUST be delivered in that format.

Artifact Instructions

These instructions explain what information the 90-Day Maturity Uplift Plan artifact requires and how to prepare your inputs.

How to Prepare Your Input Document (Required Format)

Create a new Word (or similar) document.
Copy all text from the Input Sheet tab into the document.
Save it — this is now your Input Document.
Answer the guiding questions directly in the Input Document and reference any supporting files there.
Save the completed Input Document (Word, PDF, etc.).
Copy all text from the Bridge AI Prompt tab and paste it into the prompt field.
Attach the completed Input Document and any referenced files when submitting the prompt.

No Supporting Files? No Problem.

You can proceed without uploading any supporting documents, spreadsheets, dashboards, reports, or other attachments.

The Input Document is still required, but it may contain only plain-text answers to the guiding questions.

Written responses alone are sufficient for the AI to generate output.

Supporting files, links, and pasted materials are always optional.

Missing Inputs Are OK

You do not need to complete every section.
You do not need supporting files.

The AI will still run. It will:

Use only the inputs you provide
Skip or flag missing sections
Never fail due to incomplete information

Output quality scales with input depth — but execution never breaks.

Submitting Files

If you upload files, list each file name under the relevant “If You Have Materials” section in your Input Document. This ensures each file is clearly tied to its intended use.

What to Expect From This AI Bridge

This bridge generates a structured, high-value starting point, not a guaranteed final deliverable. Output quality improves as inputs become clearer, deeper, and more complete.

This artifact supports iteration. Users are encouraged to refine inputs, test variations, and rerun the bridge to improve results.

The AI organizes complexity and accelerates insight — but final judgment and decisions remain with the user.

In Short

Stronger inputs → stronger outputs
Iteration improves results
Cross-artifact testing can reveal new perspectives
This artifact enables progress, not perfection