Research & Analysis Checklist for Agency & Consulting

Identify the sponsor, approver, and cross-functional stakeholders to align research questions and approval paths. Use a simple RACI in Notion to prevent delays caused by unclear ownership.

Translate vague client goals into precise questions that connect to revenue, margin, or CAC/LTV impacts. Anchor each question to a measurable KPI and timeline.

List and secure access to GA4, Search Console, CRM, ad platforms, social analytics, and third-party tools before analysis starts. Centralize credentials in a secure vault to minimize context switching.

Create a weekly cadence for interim readouts, assumption reviews, and go/no-go decisions. This reduces surprises and keeps the team aligned across multiple accounts.

Choose a metrics framework (e.g., North Star metric with input metrics) and define thresholds for statistically meaningful signals. Document how results map to client decisions.

Stand up a standardized workspace in Notion or Airtable with sections for hypotheses, sources, raw data, analyses, and executive summaries. This makes cross-client reuse frictionless.

Convert defined research questions into standardized SOW components with effort estimates and acceptance criteria. Use reusable templates to accelerate approvals and margin predictability.

Use public datasets (Statista, census data), analyst reports, and CRM opportunity data to estimate market size. Triangulate at least two sources to avoid single-point bias.

Analyze Google Trends, keyword volumes in Ahrefs/SEMrush, and seasonality in GA4 to identify growth windows. Flag trends that materially impact budget allocation.

Enrich accounts using Clearbit or Apollo for size and industry, and BuiltWith for stack insights. Prioritize segments where the client's value proposition has an inherent edge.

Use Similarweb to compare traffic sources, SEMrush for paid vs organic split, and social analytics for engagement. Identify underexploited channels with better unit economics.

Schedule 5 interviews with target customers to uncover outcomes, constraints, and decision triggers. Use a JTBD script and synthesize findings into demand drivers.

Draft persona hypotheses with pain points, triggers, and objections, citing specific data sources and quotes. Link each persona to channel preferences and content angles.

Compile the top 10 direct competitors and 10 adjacent solutions that compete for budget. Use category reports, G2, and client sales notes to avoid blind spots.

Catalog features, integrations, and service tiers to reveal table stakes vs differentiators. Highlight gaps that can become messaging angles or roadmap items.

Document price points, value metrics, and discount patterns. Evaluate elasticity risks and opportunities to reposition the offer for better perceived value.

Plot competitor claims across key axes (speed, quality, depth, risk). Identify white space where the client can own a distinct promise supported by proof.

Use Similarweb for traffic trends, BuiltWith for conversion tech, and public case studies for funnel stages. Infer funnel health and conversion tactics worth testing.

Run Ahrefs or SEMrush to assess share of voice, backlink quality, and pillar content gaps. Prioritize content clusters with low difficulty and high intent.

Mine closed-won and lost reasons, competitor references, and objection patterns in CRM. Translate insights into sales battlecards and objection handling scripts.

Pull GA4, ad platforms, and CRM data using Supermetrics or native exports. Keep raw data snapshots for auditability across multi-client contexts.

Standardize naming (channels, campaigns, conversions) and map to a canonical schema in Airtable or a warehouse. This enables apples-to-apples comparisons.

Validate critical numbers (market size, growth rates) against at least two independent references. Document variance and pick conservative estimates.

Record each assumption, its justification, and a confidence score. This keeps recommendations transparent and de-risks decisions for executive stakeholders.

Create Looker Studio, Tableau, or Power BI dashboards with versioned queries and source links. Use shared filters so account managers can compare clients quickly.

Use pivot tables and z-score thresholds to flag anomalies, then verify against raw logs. Document fixes to prevent repeat data hygiene issues.

Distill findings into 3-5 client decisions and recommended actions, each tied to expected impact. Keep it one page for fast executive consumption.

Quantify upside with sensitivity analysis and ranges based on confidence levels. Link assumptions to sources to support budget approvals.

Package differentiators, proof points, typical traps, and objection handling in a single-page battlecard. Enable sales and CS teams to respond consistently.

Sequence initiatives by impact and ease, assign owners, and note dependencies on data or approvals. This turns insights into accountable execution.

Flag privacy constraints, data licensing limits, and claims that require substantiation. Include evidence links to prevent compliance rework.

Prepare charts, a one-pager, and an explainer script to communicate findings across exec, marketing, and product. Visuals speed consensus in complex orgs.

Build reusable templates for hypotheses, source audits, feature matrices, and ROI models. This cuts setup time across engagements and standardizes quality.

Use Zapier or Make to pipe platform exports into Airtable with deduplication. Tag records by client and timebox to reduce manual wrangling.

Adopt Git or workspace versioning with clear naming for datasets, dashboards, and deliverables. Prevent overwrite errors when juggling multiple clients.

Create a short playbook that details access setup, deliverable formats, review cadence, and escalation paths. Speeds onboarding and reduces back-and-forth.

Host a concise session to walk through dashboards, data definitions, and next steps. Prevent misinterpretation and increase adoption of recommendations.

Log what worked, what didn’t, and new questions to test next cycle. This builds institutional memory and accelerates future research.