Blueprint

🧭 Consulting Skills Cheat Sheet

Quick Reference for All 13 Measurement & Analytics Consulting Deliverables

At a Glance

Skill Input Quick Reference

1. Measurement Strategy

client_name:          [Organization name]
industry:             [Vertical/sector]
business_objectives:  [3-5 business goals]
channels:             [Digital channels in scope]
platforms:            [Analytics/marketing stack]
audiences:            [Key audience segments]
maturity_level:       [Foundational | Developing | Advanced | Leading]
constraints:          [Privacy, regulatory, technical]
stakeholders:         [Who needs what data]

Output: 8-section strategy doc with KPI hierarchy, data architecture, activation use cases, governance, and phased roadmap.

2. Tagging & Taxonomy Framework

client_name:           [Organization name]
scope:                 [What's being taxonomized]
brands:                [Brands/business units]
regions:               [Geographic regions]
languages:             [Language codes]
platforms:             [Tech stack]
channels:              [Marketing channels]
content_types:         [Content to classify]
existing_conventions:  [Current naming patterns]

Output: Campaign taxonomy + UTM framework + web event taxonomy + content classification + multi-brand/region governance.

3. Measurement Plan & KPIs

project_name:        [Initiative name]
business_goals:      [2-5 business goals]
marketing_objectives:[Specific marketing objectives]
properties:          [Sites/apps measured]
user_journeys:       [Key user flows]
platforms:           [Analytics stack]
stakeholder_needs:   [Who needs what]

Output: Goal→KPI→Metric alignment + event specifications + reporting specs + personalization requirements.

4. Implementation Operationalization

project_name:         [Implementation project name]
measurement_plan_ref: [Reference to measurement plan]
platforms:            [Platforms being configured]
properties:           [Sites/apps in scope]
engineering_context:  [Tech stack/constraints]
environments:         [Dev/staging/prod]
events_to_implement:  [Event list or reference]

Output: DataLayer specs (with JS code) + GTM config + GA4 setup + QA checklist + deployment plan.

5. Analytics Advisory

client_name:       [Organization name]
assessment_scope:  [What's being evaluated]
current_stack:     [Analytics platforms]
known_issues:      [Pain points]
business_context:  [What data supports]
stakeholders:      [Who this serves]

Output: Maturity scorecard + gap analysis + prioritized recommendations + scalability roadmap + risk register.

6. Requirements Translation

business_question:  [The raw, ambiguous question]
questioner_role:    [Who's asking]
business_context:   [Business background]
available_data:     [What data exists]
decision_context:   [What decision this informs]

Output: Question decomposition + data requirements + metric definitions + reporting spec + decision framework.

7. Performance Analysis

analysis_scope:      [What's being analyzed]
time_period:         [Date range]
comparison_period:   [Comparison period]
channels:            [Channels in scope]
kpis:                [Success metrics]
data_source:         [Where data comes from]
business_context:    [What's happening]

Output: Channel performance matrix + deep-dive analysis + Observation→So What→Now What insights + optimization recs + hypotheses.

8. Governance Operating Model

program_name:         [Program being governed]
scope:                [What falls under governance]
org_structure:        [Teams and roles]
current_pain_points:  [What's broken]
scale:                [Size and complexity]
maturity:             [Ad hoc | Defined | Managed | Optimized]

Output: RACI matrix + SOPs (5 standard procedures) + SLAs + intake workflows + change management + adoption metrics.

9. Cross-Functional Alignment

initiative_name:   [What teams align on]
teams_involved:    [All teams/partners]
alignment_goal:    [What alignment looks like]
current_blockers:  [What prevents alignment]
decision_needed:   [Key decisions]
timeline:          [When alignment needed]

Output: Stakeholder map + DACI matrix + decision log + working agreement + execution plan + risk register.

10. Client POV & Roadmap

client_name:           [Client organization]
pov_topic:             [Central thesis]
audience:              [Who reads this]
client_challenges:     [Key business challenges]
current_capabilities:  [What they have today]
desired_outcome:       [What success looks like]

Output: The Imperative + thesis + strategic pillars + phased roadmap + value framework + investment estimate.

11. Business Development

prospect_name:        [Prospective client]
opportunity_type:     [New | Expansion | RFP]
client_need:          [What they need]
scope_elements:       [Services to include]
timeline_expectation: [Desired timeline]
team_capabilities:    [What you deliver]

Output: Proposal with scope + deliverables + timeline + team + fees + case studies + next steps.

Built-in Estimation Framework:

12. Client Engagement Management

engagement_name: [Engagement name]
client_name:     [Client]
artifact_type:   [status_report | health_check | steering_deck | risk_log]
current_status:  [Where things stand]
period:          [Reporting period]

Sub-types: Status Report (RAG + accomplishments + blockers) | Health Check (8-dimension scoring) | Steering Committee (executive-level brief)

13. Team Mentorship

artifact_type: [delivery_review | skills_assessment | feedback | onboarding | standards_guide]
team_context:  [Team size, seniority, focus]

Sub-types: Delivery Review (quality scoring + fix guidance) | Skills Assessment (competency matrix + dev plan) | Feedback (SBI+E structure) | Standards Guide (consulting hygiene checklist)

Universal Quality Rules

These apply to EVERY skill output:

1. No orphan objectives — every goal traces to KPIs → metrics → data capture → activation
2. Specificity over generality — “Implement GA4 DebugView monitoring” > “Improve data quality”
3. Formulas are explicit — never say “conversion rate” without the exact calculation
4. Every recommendation has success criteria — measurable outcomes, not aspirations
5. Bad news is surfaced — never hide risks or issues
6. Next steps have owners and dates — unowned actions don’t happen
7. Assumptions are numbered and stated — the guardrails that prevent scope creep
8. Privacy is first-class — consent and compliance are addressed in every relevant skill

Workflow: Which Skill When?

Starting a new engagement?
├── Business Development → Proposal & SOW
├── Cross-Functional Alignment → Team alignment
└── Measurement Strategy → Strategic foundation

Building the foundation?
├── Tagging & Taxonomy → Naming standards
├── Measurement Plan & KPIs → What to track
└── Implementation Ops → Developer handoff

Running the engagement?
├── Client Engagement Mgmt → Status & health
├── Analytics Advisory → Audits & assessments
├── Performance Analysis → Insights & optimization
└── Requirements Translation → Ad-hoc business questions

Sustaining & scaling?
├── Governance Model → SOPs & SLAs
├── Client POV & Roadmap → Strategic direction
└── Team Mentorship → Quality & development

Pro Tips

• Stack skills: A measurement strategy (Skill 1) naturally feeds into a measurement plan (Skill 3), which feeds implementation specs (Skill 4). Chain them.
• Start with Requirements Translation (Skill 6) when a stakeholder gives you a vague question — it structures everything downstream.
• Use Governance (Skill 8) early, not as an afterthought. Process debt is as costly as technical debt.
• POV documents (Skill 10) are your most powerful sales tool — they demonstrate thinking, not just doing.
• Every deliverable gets a Delivery Review (Skill 13) before it leaves the building. Every. Single. One.