Deliverable index

See exactly what ProductQuant delivers before you commit.

Every engagement is built around concrete outputs: analysis, built assets, handoff documentation, and support. This page shows the flagship service stacks in one place so you can compare the work before choosing a path.

Public-signal scan first. Deeper diagnosis unlocks when you share analytics, billing, product, or customer data.

ProductQuant research and review workspace preview
Artifacts, not vague advice Reports, specs, models, playbooks
Fixed-scope entry points

Sprints and scans define the work before a larger engagement starts.

Complete deliverable stacks

Outputs are specified as assets, reports, models, specs, and support.

Team handoff included

Documentation and walkthroughs are part of the work, not an add-on.

No lock-in dependency

Everything built during the engagement stays with your team.

How to read this

Each service is a stack, not a single report.

ProductQuant work is grouped into four categories so buyers can see what is investigated, what is built, what gets handed over, and what support is included after the readout.

01

Analysis & research

Diagnosis using your product, customer, revenue, competitive, and operational signals.

02

Built assets

Dashboards, tracking plans, experiment systems, models, briefs, or frameworks installed for use.

03

Documentation & handoff

The operating notes, templates, recordings, and reference material your team keeps.

04

Support

Implementation guidance and review cadence so the work gets adopted instead of filed away.

What changes after the work

Your team stops debating whether the problem is analytics, activation, churn, pricing, positioning, or execution. You leave with a prioritized foundation and the first 3 sprint scopes.

Analysis & research

  • Growth audit across analytics, product, churn, competitive, revenue ops, and GTM.
  • Event and dashboard review with instrumentation gaps identified.
  • Customer and support signal synthesis where data is available.
  • Market and competitive baseline for positioning decisions.

Built assets

  • Tracking plan and analytics fix roadmap.
  • Experiment backlog with prioritization logic.
  • Competitive intelligence library and alert setup.
  • North Star, driver, and guardrail metric structure.

Documentation & handoff

  • Ranked opportunity map with likely business impact.
  • First 3 sprint scopes with clear execution order.
  • Tracking standards, naming conventions, and reference notes.
  • Recorded walkthrough for leadership and operators.

Support

  • Implementation guidance after the diagnostic.
  • Prioritization support for the first execution decisions.
  • Email support for clarification on the roadmap and assets.

What we need from you

Read-only access to analytics, billing, CRM, support, and product usage data where available; existing dashboards and tracking docs; one product or growth owner for context; leadership availability for final prioritization.

What changes after the work

Experiments stop living in backlog. Churn risk surfaces before cancellation conversations. Activation analysis stays current. Competitive shifts reach the team before they become surprises.

Analysis & research

  • Experiment hypotheses grounded in behavioral data.
  • Churn prediction model review and monthly refinement.
  • Activation cohort analysis and bottleneck diagnosis.
  • Competitive monitoring across the agreed market set.

Built assets

  • Experiment engine with test queue and decision logic.
  • Weekly at-risk account list for CS action.
  • Monthly activation analysis report.
  • Competitive intelligence digest and alerts.

Documentation & handoff

  • Experiment result documentation.
  • Churn model performance tracking notes.
  • Activation funnel updates and priority order.
  • Monthly Growth LAB report and recorded review.

Support

  • Weekly experiment monitoring.
  • Monthly strategy sessions.
  • Async access for urgent decisions.
  • Quarterly planning support.

What we need from you

Read-only access to analytics and billing data; a named product or growth owner; engineering capacity to ship experiment variants or tracking fixes; CS context for churn-risk interpretation.

What changes after the work

The growth function stops resetting every month. Analytics feeds experiments, experiments feed product decisions, customer signals feed priorities, and the operating rhythm is documented for your team.

Analysis & research

  • Complete growth audit across the operating system.
  • Continuous competitive intelligence.
  • Customer voice and signal pipeline review.
  • Revenue ops, conversion, and GTM diagnosis.

Built assets

  • Analytics infrastructure map and rebuild plan.
  • Experiment engine and experiment library.
  • Churn-risk signals and retention operating rhythm.
  • Decision frameworks for team independence.

Documentation & handoff

  • Tracking plan and decision framework materials.
  • Operating cadence documentation.
  • Team onboarding package.
  • Monthly board-ready growth report template.

Support

  • Strategic guidance through the operating cadence.
  • Weekly experiment and decision reviews.
  • Monthly workshops and quarterly planning support.
  • Handoff support so the system can run without dependency.

What we need from you

An executive sponsor; read-only access to growth data sources; weekly operating time with decision-makers; engineering/product capacity to implement tracking, experiments, and activation changes.

What changes after the work

Weekly delivery plans replace ad hoc prioritization. Engineering receives cleaner briefs. Measurement is attached before build starts. Decisions close instead of reopening in every meeting.

Analysis & research

  • Weekly planning and review analysis.
  • Monthly bottleneck workshop.
  • Roadmap and backlog priority analysis.
  • Experiment and measurement guidance.

Built assets

  • Weekly delivery plan document.
  • Engineering-ready initiative packages.
  • Measurement plan on every brief.
  • Decision log with closure rules.

Documentation & handoff

  • Initiative brief templates.
  • Measurement plan templates.
  • Decision framework documentation.
  • Monthly impact summary and board-ready readout.

Support

  • Daily async access for decisions.
  • Weekly sync sessions.
  • Monthly strategic session.
  • Quarterly planning support.

What we need from you

Access to backlog, roadmap, product briefs, analytics screenshots, customer feedback, and current decision docs; one owner for priority calls; engineering availability for brief review.

Data readiness

If your data is not ready, that is not a disqualifier.

Most teams do not start with clean data, clean instrumentation, or clean decision flow. The right starting point changes based on what is missing.

The Foundation exists to fix foundational issues and set up the first 3 sprints so Growth LAB or Growth OS can start from a reliable operating layer.

Measurement is broken

Start with The Foundation or Analytics Audit before trying to run a monthly experiment engine.

Activation is the obvious bottleneck

Start with a focused activation sprint, then move into Growth LAB if the team can execute.

Execution is the bottleneck

Use Fractional PM instead of forcing analysis work into a team that cannot ship the fixes yet.

The whole system is missing

Use Growth OS when the issue is not one metric, but the lack of a connected growth operating rhythm.

Choose the entry point

The right deliverable stack depends on what is actually blocking growth.

Start with the free scan if you are unsure. Public data gets us to a visible hypothesis. Internal data unlocks the deeper diagnostic and the right sprint scope.

The FoundationFix the diagnostic and data layer before scaling work. Growth LABRun monthly analysis, experiments, churn prediction, and competitive monitoring. Growth OSInstall the complete growth operating system. Fractional PMFix delivery, decision closure, measurement, and product cadence.