Research agencies that scale successfully do it through repeatable processes, not heroic individual effort. Every project that requires your senior researchers to reinvent the workflow from scratch is a project that costs more than it should and takes longer than it needs to. This playbook provides the templates your agency needs to run AI-moderated client research efficiently, from initial brief through final deliverable. Each template is designed for the AI-moderated agency workflow that delivers 200+ interviews in 48-72 hours at $20/interview.
The goal is simple: build your templates once, adapt them for each client engagement, and free your team to focus on the strategic analysis that clients actually pay for. For the full context on how AI research transforms agency operations, see the complete guide to AI research for agencies.
How Should Agencies Structure the Client Brief Intake Process?
The quality of your research output depends on the quality of your brief intake. Agencies that use a structured intake process catch scope misalignment early, set realistic expectations with clients, and design studies that answer the right questions on the first pass.
Client Brief Intake Template
This template captures everything your team needs to design an effective study. Use it in the kickoff meeting or send it to the client for pre-meeting completion.
Section 1: Business Context
- What business decision will this research inform?
- What is the timeline for the decision? When does the research need to be complete?
- Who are the key stakeholders who will use the findings? What are their roles?
- What does the team already believe or hypothesize about this topic?
- What would change if the research contradicts current assumptions?
Section 2: Research Objectives
- What are the top 3 questions this research must answer?
- What secondary questions would be valuable if time and budget allow?
- Are there specific hypotheses to test, or is this exploratory?
- How will success be measured? What does a useful output look like?
Section 3: Target Audience
- Who needs to be included in this research? Define by demographics, behaviors, and attitudes.
- Are there specific segments that must be represented? Minimum quotas per segment?
- Should the research include current customers, prospective customers, competitor customers, or lapsed customers?
- Are there any audiences that should be excluded?
Section 4: Scope and Constraints
- Budget range for this engagement.
- Timeline requirements: ideal delivery date and absolute deadline.
- Any methodological preferences or requirements from the client?
- Stimulus materials available: concepts, packaging, messaging, prototypes?
- Data sensitivity requirements: NDA, compliance, data handling protocols?
Section 5: Deliverable Expectations
- Preferred format for findings delivery: presentation, report, workshop, data access?
- Who is the primary audience for the deliverable? Researchers, marketers, executives, board?
- Level of strategic recommendation expected versus pure research findings?
- Follow-up research anticipated, or is this a standalone project?
The intake process should take 30-60 minutes. Every minute spent here saves hours of misdirected research effort later. The most common failure mode in agency research is not methodological error but scope misalignment: the research answers questions that the client did not actually need answered. A thorough intake prevents this.
Study Scoping Template: From Brief to Methodology?
Once the brief is captured, your study designer translates it into a research plan. This template standardizes the scoping process so that any qualified member of your team can scope a study consistently. The study scoping template also serves as the internal project record and the basis for the client proposal. Agencies using AI-moderated research through User Intuition can scope and launch studies in a single day because the platform eliminates the logistics that traditionally stretch scoping across weeks. With fieldwork at $20/interview and results in 48-72 hours, agencies can include research in pitches and proposals where traditional timelines would have made qual impossible.
Study Scoping Checklist
Research Design
- Study type: Consumer insights / Concept testing / Brand tracking / Competitive intelligence / Win-loss / Shopper insights / Custom
- Sample size: [recommended 100-300 for AI-moderated studies]
- Interview length: [10-20 minutes standard for AI interviews]
- Number of audience segments: [define segments and minimum quota per segment]
- Stimulus materials required: Yes/No [if yes, list materials and format requirements]
- Multi-market scope: Yes/No [if yes, list markets and languages]
Audience Specification
- Primary audience: [demographic, behavioral, and attitudinal criteria]
- Screening criteria: [must-meet requirements for participation]
- Exclusion criteria: [disqualifying characteristics]
- Recruitment source: Platform panel / Client CRM list / Both
- Segment quotas: [minimum interviews per segment]
Timeline
- Study design completion: [date]
- Study launch: [date]
- Fieldwork completion: [48-72 hours after launch]
- Analysis completion: [date, typically 3-5 business days after fieldwork]
- Client deliverable: [date]
Budget
- Fieldwork cost: [sample size x $20]
- Platform subscription: [if applicable]
- Agency analysis and strategic overlay: [hours x rate]
- Total project fee to client: [amount]
- Projected margin: [percentage]
Risk Assessment
- Audience availability risk: Low/Medium/High
- Timeline risk: Low/Medium/High [virtually eliminated with AI moderation]
- Scope creep risk: Low/Medium/High
- Mitigation strategies for medium/high risks
This scoping template ensures consistent project planning across your team and creates an audit trail for project decisions. It also serves as the foundation for your client proposal, which can be generated by adapting the scoping document into client-facing language.
Discussion Guide Framework: Designing for AI Moderation?
Discussion guides for AI-moderated interviews are simpler than traditional moderator guides because the platform handles probing, timing, and conversational flow. Your guide defines the territory to explore. The AI moderator manages the exploration.
Discussion Guide Template
Study Header
- Client: [name]
- Study title: [descriptive title]
- Version: [number and date]
- Author: [agency researcher name]
- Approved by: [client contact name and date]
Research Objectives (copied from scoping document)
- [Primary objective]
- [Secondary objective]
- [Tertiary objective]
Warm-Up Section (1-2 questions, 2-3 minutes)
Purpose: Establish rapport and context. Ground the participant in the topic area before asking about specific experiences or perceptions.
- Question 1: [Broad behavioral question about category involvement]
- Question 2: [Context-setting question about recent experiences]
Core Exploration Section (4-6 questions, 8-12 minutes)
Purpose: Deep exploration of the primary research objectives. Each question should be open-ended and behavior-anchored.
- Question 3: [Primary research question - behavioral anchor]
- Question 4: [Follow-up exploring motivations and drivers]
- Question 5: [Comparison or evaluation question]
- Question 6: [Perception or attitude exploration]
- Question 7: [Decision process or criteria question]
- Question 8: [Unmet needs or future intent question]
Stimulus Section (if applicable, 2-3 questions, 3-5 minutes)
Purpose: Test specific concepts, messaging, or materials.
- Question 9: [Initial reaction to stimulus]
- Question 10: [Comprehension and appeal assessment]
- Question 11: [Comparative evaluation against existing alternatives]
Closing Section (1-2 questions, 2-3 minutes)
Purpose: Capture final reflections and anything the participant wants to add.
- Question 12: [Summary reflection or recommendation question]
Key Probing Directions
For each core question, note 2-3 probing directions that are particularly important for the client’s objectives. The AI moderator will generate probes automatically, but specifying priority directions ensures critical topics are explored.
- Question 3 priorities: [probe direction A, probe direction B]
- Question 5 priorities: [probe direction A, probe direction B]
Design Principles for AI-Moderated Guides
Keep it to 8-12 core questions. The AI generates 3-5 follow-up probes per question, so a 10-question guide actually covers 40-60 distinct lines of inquiry. More core questions means shallower exploration of each topic. Use “walk me through” and “tell me about” phrasing. These open-ended prompts invite narrative responses that give the AI rich material to probe. Avoid hypothetical questions in favor of experiential questions. “What would you do if…” produces speculative answers. “What did you do when…” produces grounded accounts that reveal actual behavior and decision-making. Front-load the most important questions. Participant engagement and depth tend to be highest in the first two-thirds of the interview. Put your highest-priority research questions there.
Analysis Framework: Turning Interviews Into Client Insights?
AI-moderated platforms like User Intuition provide structured analysis, segment breakdowns, and thematic coding automatically. But the agency’s value lies in the strategic layer above the platform’s output. This analysis framework helps your team systematically translate raw research data into client-actionable insights.
Analysis Workflow
Step 1: Data Familiarization (2-4 hours) Review the platform’s automated analysis, which includes thematic coding, sentiment patterns, and segment breakdowns. Read a sample of 20-30 full transcripts to develop intuitive understanding of the data. Note surprising findings, contradictions, and patterns that the automated analysis may not have highlighted. Flag verbatims that are particularly articulate or illustrative for use in the client deliverable.
Step 2: Framework Application (2-4 hours) Apply the analytical framework appropriate to the study type.
For consumer insights studies: Map the purchase decision journey. Identify decision drivers, barriers, and triggers. Segment by behavioral and attitudinal patterns. For concept testing: Score each concept on comprehension, appeal, relevance, and differentiation. Identify improvement opportunities per concept. Map concept-audience fit by segment. For competitive intelligence: Build the competitive perception matrix. Identify positioning gaps and opportunities. Map competitive strengths and vulnerabilities as perceived by consumers. For brand tracking: Compare wave-over-wave metrics. Identify directional shifts in brand perception. Flag emerging themes or competitive threats.
Step 3: Insight Synthesis (2-3 hours) Transform data patterns into strategic insights. An insight has three components: the observation (what the data shows), the implication (what it means for the business), and the recommendation (what the client should do about it). Limit the deliverable to 5-7 primary insights. More than seven insights dilute focus and reduce the likelihood that any single insight drives action.
Step 4: Narrative Construction (2-3 hours) Build the story that connects the insights into a coherent strategic narrative. The narrative should answer the question the client asked in the brief, address the hypotheses the team brought into the research, and provide a clear framework for the decisions the client needs to make. Support each insight with 2-3 verbatim quotes from participants. Direct consumer language is more persuasive than researcher interpretation.
Step 5: Recommendation Development (1-2 hours) Translate insights into specific, actionable recommendations. Each recommendation should be tied to a specific finding, prioritized by potential business impact, and achievable within the client’s operational constraints. Include both immediate actions and strategic considerations.
Client Deliverable Template: Presenting Agency Research?
The deliverable is where the agency’s strategic value becomes tangible to the client. A well-structured deliverable does not just report findings. It tells a story that drives decisions. This template provides the structure for a 30-40 page client presentation that works across study types.
Deliverable Structure
Page 1: Title and Context
- Study title, client name, date
- Agency branding and confidentiality notice
Pages 2-3: Executive Summary
- One-page summary of key findings and recommendations
- Written for the executive who will not read the full report
- 5 bullet points maximum, each linking a finding to a recommendation
Pages 4-5: Research Design Overview
- Methodology description (AI-moderated depth interviews)
- Sample composition and segment definitions
- Research objectives as defined in the brief
Pages 6-8: Audience Profile
- Who we spoke to: demographic and behavioral summary
- Segment overview: key attitudinal differences between segments
- Contextual backdrop: category involvement and engagement levels
Pages 9-25: Findings by Research Objective
- Organize findings around the 3-5 research objectives from the brief
- Each objective gets 3-5 pages covering: key finding headline, supporting data patterns, participant verbatims, segment-level differences, and implications
Pages 26-28: Strategic Implications
- Synthesis of findings into strategic themes
- Competitive context and positioning implications
- Market opportunity assessment
Pages 29-30: Recommendations
- 5-7 prioritized recommendations with expected impact
- Immediate actions versus strategic considerations
- Recommended next steps for follow-up research
Pages 31-35: Appendix
- Full discussion guide
- Detailed sample breakdown
- Additional verbatims organized by theme
- Methodology note with platform description
This template works for presentation delivery and can be adapted for written report format by expanding the narrative sections. The key principle is that every page should serve either comprehension (helping the client understand what was found) or action (helping the client decide what to do about it). Pages that serve neither should be cut.
Workflow Automation: Connecting Templates Into a System?
Individual templates create efficiency. Connected templates create a system. The most productive agency research teams connect their templates into an end-to-end workflow where the output of each stage feeds directly into the input of the next stage.
The brief intake template generates the inputs for the study scoping template. The scoping template defines the parameters for the discussion guide framework. The discussion guide feeds into the platform’s study configuration. The platform’s output feeds into the analysis framework. The analysis framework generates the content for the client deliverable template.
When this workflow is systematized, a senior researcher can take a project from client brief to delivered findings in 5-7 business days: 1 day for intake and scoping, 1 day for discussion guide design and study launch, 2-3 days for fieldwork completion (48-72 hours), and 2-3 days for analysis and deliverable creation. Under the traditional model, the same project takes 6-8 weeks. This compression means your team can run 3-5x more projects per quarter without adding headcount, which is the fundamental economic advantage of AI-moderated research for agencies.
User Intuition supports this workflow integration with template libraries, study cloning, and structured data exports that feed directly into agency analysis tools. The platform’s 4M+ panel, 50+ language support, and 98% participant satisfaction rate ensure that the fieldwork stage of your workflow operates reliably at scale. Your templates define the intellectual framework. The platform handles the mechanical execution. Your team delivers the strategic intelligence that makes clients come back for more.
Frequently Asked Questions
How should agencies customize these templates for different industries?
Start with the universal template structure and modify two sections per industry: the discussion guide questions and the analysis framework. A CPG client needs questions anchored in shopping behavior and brand perception. A healthcare client needs questions anchored in treatment decisions and provider relationships. The intake, scoping, and deliverable templates remain largely the same across industries because the workflow is consistent even when the content domain changes.
How many questions should an AI-moderated discussion guide include?
Aim for 8-12 core questions per study. The AI generates 3-5 follow-up probes per question, so a 10-question guide actually covers 40-60 distinct lines of inquiry. Overloading the guide with 20+ questions produces shallow exploration of each topic. Fewer, well-designed questions with strong probing directions consistently produce richer data than exhaustive question lists.
What is the ideal sample size for agency client studies using AI moderation?
The sweet spot for most agency work is 100-300 interviews per study. At $20 per interview through User Intuition, 200 interviews cost $4,000 in fieldwork, which delivers enough data for robust segmentation analysis and cross-segment comparison. Scope larger for multi-market studies or when the client needs statistically confident segment-level findings across more than three or four audience groups.
How do agencies handle clients who are skeptical about AI-moderated research quality?
The most effective approach is a parallel pilot. Run the client’s next study simultaneously through traditional and AI-moderated methods, then compare the outputs side by side. Agencies consistently report that clients respond positively when they see larger sample sizes, faster turnaround, and comparable or greater depth at a fraction of the cost. The 98% participant satisfaction rate and G2 5.0 rating provide third-party validation that supports the conversation.