Productized Consulting Packages

Analytics services with clear scope, deliverables, and outcomes.

MetricBridge Analytics offers focused consulting and coaching packages for startups, product teams, AI builders, and professionals moving into data careers.

Consulting Packages

Startup Data Foundation Sprint

Best for early-stage teams that need trusted metrics and a first analytics foundation.

A two- or three-week engagement that turns scattered data sources into a practical analytics roadmap and first dashboard.

Deliverables

  • Data source and tracking review
  • KPI and metric definition document
  • Raw, staging, intermediate, and production data design plan
  • One onboarding or activation dashboard
  • Data-quality risks and 90-day analytics roadmap

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Product Growth Diagnostic

Best for teams with one urgent activation, retention, churn, or conversion question.

A focused analysis of one important growth problem, ending with a clear executive readout and prioritized next steps.

Example questions

  • Why do users fail to activate?
  • Which behaviors predict retention?
  • Where does conversion drop?
  • Which segments need different product experiences?

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AI Product Analytics Sprint

Best for AI startups that need to define what healthy product usage looks like.

A differentiated sprint combining AI product strategy, analytics engineering, dashboards, experimentation, and stakeholder-ready communication.

Focus areas

  • AI feature adoption and user satisfaction metrics
  • Model-quality and product-performance measurement
  • Free-to-paid conversion and AI-user retention tracking
  • Trust, failure, and correction signal definition
  • AI-powered Streamlit dashboard

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Experimentation Setup

Best for teams that want cleaner A/B tests and more consistent launch decisions.

A structured operating system for designing experiments, tracking results, and making consistent decisions after launch.

Includes

  • Experiment hypotheses and decision standards
  • Primary and guardrail metrics
  • Sample-size and duration guidance
  • Experiment tracking and results templates
  • Global holdout strategy

A smaller A/B Testing Review is also available for teams that want feedback on an existing experiment plan.

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Career Coaching and Corporate Training

Coaching packages are designed for new graduates, early-career data professionals, and teams that want practical SQL, Python, or product analytics training.

Resume and LinkedIn Review

Best for new graduates and early-career data professionals refining their positioning.

Review of resume, LinkedIn profile, project framing, and practical next edits.

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Mock Product Analytics Interview

Best for candidates preparing for product analytics or business analytics interviews.

Case practice, structured feedback, and guidance on clearer analytical communication.

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Resume plus Two Mock Interviews

Best for active job searches that need both profile polish and interview practice.

A focused prep package covering resume positioning, interview structure, and follow-up improvements.

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Four-Session Analytics Career Program

Best for people transitioning into data from a different background.

Career roadmap, portfolio direction, SQL or analytics practice, interview preparation, and accountability.

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SQL, Python, or Product Analytics Team Workshop

Best for teams that want practical analytics training tied to real work.

Workshop content tailored to team workflows, tools, and product or business questions.

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