Technical Audit & Roadmap

Know what you are funding before you fund more code.

Makepad reviews the codebase, architecture, data model, release path, performance signals, and delivery risks. Your CTO or engineering team receives a written audit pack with priorities and next steps.

A Technical Audit is a timeboxed review. It does not include code changes. It is built for decisions, planning, and handover.

Book audit call Back to overview

Find your audit track

Start with the risk that is blocking the next investment.

Different teams arrive with different questions. The output is consistent: findings, risks, priorities, and a roadmap your team can execute.

System direction

We need a roadmap before committing more engineering budget.

System Direction Review

 Implementation quality

A previous team built the codebase and we need to know what is safe to continue.

Implementation Quality Review

 Data model

The data structure may be limiting reporting, scale, or future product work.

Data & Growth Review

 Performance

The product feels slow, or expected usage needs a baseline.

Performance & Capacity Review

 Data safety

We need to review how sensitive, production-like, or test data is handled.

Data Handling Review

 Release readiness

Tests are missing, flaky, or disconnected from business-critical paths.

Quality Strategy Review

Three audit layers

One audit offer, organized by risk layer.

The audit can focus on one layer, or combine layers when the same risk touches architecture, code, data, and release readiness.

Layer 01

Direction & Architecture

Review system shape, sequencing, deployment assumptions, and the technical roadmap.

Architecture Delivery risk Roadmap

Layer 02

Implementation & Data Quality

Find fragile areas, maintainability risks, data structure problems, and ownership issues.

Implementation Data model Maintainability

Layer 03

Production Readiness

Review speed, data safety, test coverage, release readiness, and the evidence needed to continue.

Performance Data handling Quality strategy

Audit process

The work is timeboxed and designed for handover.

The goal is not dependency on Makepad. The goal is a clear record of the system, risks, decisions, and next engineering steps.

Goal Product, codebase, timeline, and audit objective
Access Required materials and access deadline
Review System, implementation, data, delivery, and risks
Findings Technical report and risk assessment matrix
Roadmap Prioritized next steps your team can execute
Handover Call, questions, optional architecture proposal

Exact audit tracks

Choose the review that matches the uncertainty.

Every track is still a Technical Audit: no code changes, no implementation sprint, and no vague advice. The difference is what we inspect most deeply.

System Direction Review

Direction & Architecture

Define the system shape before more engineering time is spent.

Best when the product needs to continue, but boundaries, sequencing, or ownership need review.

Best for

  • Founders or CTOs planning the next quarter
  • Teams inheriting a system from another team or agency
  • Products with disputed or undocumented service boundaries
  • Teams deciding what to simplify before building more

What we review

  • System structure and ownership boundaries
  • Scalability and reliability risks
  • Deployment and environment assumptions
  • Build-versus-buy and sequencing decisions
  • Architecture risks that affect delivery

What your team receives

  • Architecture findings
  • Risk assessment matrix
  • Architecture proposal when needed
  • Prioritized technical roadmap
  • Handover call
Implementation Quality Review

Code & Data Quality

Understand what is fragile, risky, slow, or hard to change.

Best when development needs to continue, but the implementation is difficult to trust or estimate.

Best for

  • Systems built by a previous team or agency
  • Teams with growing bugs or slow changes
  • Products with disputed or undocumented module ownership
  • Teams that need a refactor roadmap before implementation

What we review

  • Implementation quality and maintainability
  • Fragile patterns and modules
  • Security basics and dependency risks
  • Slow paths and performance bottlenecks
  • Testing and review gaps when visible

What your team receives

  • Technical findings report
  • Risk list by severity
  • Refactor and stabilization roadmap
  • Priority order for engineering work
  • No fixes unless scoped separately
Data & Growth Review

Implementation & Data Quality

Review the data model before it slows the product down.

Best when the data layer has grown with the product and the team needs a cleaner direction.

Best for

  • Products with slow data access or undocumented data ownership
  • Teams planning new product surfaces
  • Companies worried about data model growth
  • Teams preparing migrations or data cleanup

What we review

  • Current data structure and model
  • Query risks and growth limits
  • Migration and backup assumptions
  • Data consistency and ownership
  • Future schema direction

What your team receives

  • Data model findings
  • Improved data direction
  • Migration risk notes
  • Priority roadmap
  • Data model recommendations
Performance & Capacity Review

Production Confidence

Find the bottlenecks before traffic or users expose them.

Best when the product feels slow, launch risk needs review, or performance needs a baseline.

Best for

  • Products with slow response times
  • Products preparing for launch or growth
  • Teams unsure whether the system can handle expected traffic
  • Products where bottlenecks have not been isolated

What we review

  • Product and system response times
  • Concurrency and load behavior
  • Bottlenecks across implementation, data, or infrastructure
  • Production readiness for expected traffic
  • Performance regression risk

What your team receives

  • Performance baseline
  • Bottleneck report
  • Improvement roadmap
  • Recommended thresholds
  • Optional test automation plan
Data Handling Review

Production Confidence

Understand whether sensitive data is handled safely in internal workflows.

Best when teams use production-like data and need the handling process reviewed.

Best for

  • Teams handling personal, customer, or business-sensitive data
  • Products using production-like test data
  • Teams that need safer developer workflows
  • Companies worried about re-identification or leakage risk

What we review

  • How sensitive or production-like data is generated and stored
  • Whether test data is truly separate from real data
  • Re-identification and leakage risks
  • Developer workflow around sensitive data
  • Data handling assumptions

What your team receives

  • Data handling risk report
  • Data handling recommendations
  • Safer test data approach
  • Roadmap for remediation
  • Workflow notes for developers
Quality Strategy Review

Production Confidence

Know which quality checks matter before adding more test work.

Best when coverage is not measured, tests are flaky, manual QA is heavy, or critical paths are not protected.

Best for

  • Teams with missing or unreliable tests
  • Products with high-risk user flows
  • Teams adding quality gates before release
  • Companies that need a realistic test roadmap

What we review

  • Current test coverage and test types
  • Manual QA process and bug history
  • Release test steps and flaky tests
  • Critical user flows and test data setup
  • Release-gate assumptions

What your team receives

  • Test coverage report
  • Coverage baseline and targets
  • Uncovered critical modules
  • Coverage gates and trend plan
  • Test roadmap by priority

Audit pack

The output is built for a CTO or engineering team to execute.

The audit should leave behind enough detail to make decisions, sequence work, and brief the team that will own the next step.

Technical audit Example handover shape
Pricing Custom
Timeline Agreed
Code changes No
Roadmap Yes
Technical audit report Risk assessment matrix Architecture proposal when needed System and data model notes Roadmap by priority Handover notes

What the audit explains

  • What is blocking development
  • Which risks matter first
  • What can be simplified before more code is written
  • What should be fixed, redesigned, monitored, or deferred
  • What your CTO or engineering team can execute next
  • Which work should become a separate build engagement

Audit window and access. The audit window is reserved after contract and payment. Required access and files must be provided before kickoff. Late or incomplete access may reduce scope, move the delivery date, or require a new audit window. Final audit documents are released after payment is complete.

Boundaries

A review your team can execute, not a disguised implementation sprint.

We define the audit target before kickoff, review the provided materials within the agreed timeline, and hand over written findings. Code changes can be scoped separately after the audit.

This work is

A focused technical review with an executable roadmap.

  • System, implementation, data, delivery, performance, or quality review
  • Risk assessment matrix
  • Prioritized next-step roadmap
  • Optional architecture proposal
  • Handover call

This work is not

No code changes inside the audit.

  • Not full implementation
  • Not penetration testing
  • Not legal or compliance certification
  • Not emergency production support
  • Not a guarantee that every issue will be discovered

Start with the uncertainty

Tell us what needs review: direction, implementation quality, data, performance, delivery, or tests.

We will help you choose the audit track and define the access list, timeline, deliverables, and handover before kickoff.

Book audit call Email Makepad