Quick orientation: where we start

• Tell me briefly which product concept or business decision prompted this research request?
• Who on your team will be the day to day owner of this study, and who will sign the final recommendation? Options: VP Consumer Insights, Director of Insights, Product Lead, Brand Director, Procurement, Other
• When do you need findings in hand to influence your next development or budget gate? Options: Within 2 weeks, Within 4 weeks, Within 6 weeks, Within 8+ weeks
• What metrics or decision rules will you use to say this study changed the plan?
• How confident are you today that the target sample can be recruited within your timeline? Options: Very confident, Somewhat confident, Doubtful, No idea

Pin down the one question that changes everything

• Imagine you need to write a single, decision-triggering question for leadership, what is that question?
• Describe the consumer segment and the purchase or usage context that must be present for results to feel credible to your team Options: Current customers, Prospective customers, Lapsed customers, Heavy users, Occasional users, Price sensitive shoppers, Other
• Walk me through the last time you ran a study like this, what went right and what most undermined confidence in the outcomes?
• What would have to be true about the measured lift or effect size for leaders to change a product, price, or go to market plan?
• What single finding, if it does not appear, would make you cancel or delay the initiative?

Where your current knowledge leaves you exposed

• What's the biggest assumption about your customers that this study could prove wrong?
• How often do teams rely on internal surveys or anecdote instead of fresh, recruited samples for decisions like this? Options: Always, Often, Sometimes, Rarely, Never
• Point to the internal dataset or metric that most shapes current beliefs and say who maintains it Options: CRM purchase data, Transaction logs, Brand tracker, NPS or CSAT, Third party panel, No clear dataset, Other
• When those internal metrics point one way and in depth interviews point another, which do leaders typically trust and why? Options: Metrics usually win, Interviews usually win, Depends on sponsor, No consistent pattern
• Suppose recruitment misses your core segment by 25 percent, what would cause you to pause or stop the study?

The real consequences if this study misses the mark

• What broken decision or lost opportunity will you be held accountable for if this research does not deliver?
• How much budget or development time is explicitly tied to the outcome of this study? Options: Under $50k, $50k to $150k, $150k to $500k, Over $500k
• List the stakeholder groups who will push back hardest if results contradict current plans Options: Product leadership, Marketing or Brand, Sales or Commercial, Finance or CFO, Executive sponsor, Legal or Compliance
• Tell a recent story when research was dismissed in your organization, what happened and who won the argument?
• Should the timeline slip by more than two weeks, what happens to the product gate or budget decision? Options: Gate delayed, Budget reduced, Project cancelled, Proceed without research, Other

Who else is on your short list

• Identify the suppliers, internal teams, or incumbent approaches you are actively considering instead of engaging an external research partner Options: Internal team, Incumbent research vendor, New vendor on short list, Build an internal pilot, No alternative yet, Other
• What would have to be true about your current approach for you to stick with it rather than change?
• Has anyone on your team proposed solving this with internal surveys or analytics instead of commissioning field recruitment? Options: Yes, No, Not sure
• Select vendor capabilities that would make you switch today Options: Named recruits, Guaranteed quotas, Firm completion dates, Shorter timeline, Lower cost, Behavioral in market test, Segment focused screener, Other
• Assuming an incumbent matches the quota and timeline we propose, what would make you still change vendors?

Constraints that will gate fieldwork

• Select the legal, privacy, or compliance approvals that must be obtained before we can start recruiting Options: IRB or ethics review, Legal review of materials, Data transfer agreement, Consent form review, None, Other
• Do you have sample lists, CRM segments, or first party identifiers we must connect to for recruitment and if so in what formats? Options: Yes, clean sample lists, Yes, CRM access available, Yes, but needs work, No, vendor recruitment required, Other
• Name the internal owner who will coordinate logistics, approve screener language, and clear participant incentives Options: Product Manager, Insights Director, Legal/Compliance, Procurement, Other
• If an API or secure SFTP is required for data exchange, who owns that system and can they provision access within your target timeline?
• What single operational constraint would force us to pause or cancel fieldwork before it starts?

How this project earns a yes from your leaders

• Beyond p values and surface metrics, what specific evidence would convince leaders to change the plan based on this study?
• Point to the decision gate that will accept our recommendations and tell us who signs that gate Options: Product steering committee, Executive committee, Marketing leadership, CFO or Finance, Procurement, Other
• Upon meeting your target metrics, how quickly could procurement or budget be released? Options: Immediately, Within 1 week, 1 to 3 weeks, More than 3 weeks, Not sure
• What specific acceptance criteria do you require for a 'go' recommendation, for example minimum conversion lift or minimum reachable segment size?
• When the study produces a recommendation you agree with, what internal obstacles could still prevent action and who must be convinced for the change to happen?

• Research Approach Solution Experience

• Confirm the current state and its cost to your team
• You confirm the proposed mixed-method design will produce the segment-level evidence required for the funding decision.
• Deliver a written mixed-method design and sample forecast with screening logic and quota plan within 3 business days.
• You accept the recruitment and quota plan as sufficiently representative to withstand internal review.
• Show the mixed-method design mapped to your decision
• Run a sample feasibility check against proposed recruitment sources and share expected completion dates for fieldwork.
• You agree the timeline meets the development gate or identify the specific adjustments needed to do so.
• Prove the recruitment and quota approach
• Provide the confirmed development gate date and the success signals that will be used to judge recommendations.
• Map the timeline to your development gate and surface risks
• Share any existing screening criteria, segmentation rules, or known exclusionary constraints used in prior studies.
• Validate the design against your needs

• Research Approach Solution Experience
• Research Approach Deck
• Research Approach Brief

• meeting
• slides
• document

• Recruit and Screen Target Respondents
• Program and QA Online Survey Instrument
• Field Quantitative Survey
• Tabulate, Weight, and Statistical Test Survey Data
• Code Open-Ended Responses and Thematic Analysis
• Conduct In-Depth Qualitative Interviews
• Moderate Remote Focus Groups
• Conduct Ethnographic Field or Home Visits
• Run Conjoint and Price-Optimization Analysis
• Build Behavioral Segmentation Model
• Integrate and Analyze Third-Party Behavioral Data
• Deliver Executive Findings Deck and One-Page Brief
• Run Cross-Functional Recommendations Workshop
• Provide Raw Data, Codebook, and Analysis Files Export

Recruit and Screen Target Respondents

• Provide the exact target segments by SKU purchase behavior or loyalty tier you want represented in the sample (for example: weekly buyers of SKU A, lapsed members of loyalty tier Gold)
• How many completed interviews or survey completes do you require per target segment (specify numeric value per segment) Options: 25, 50, 100, 200, Custom
• Specify the inclusion and exclusion screener rules tied to purchase frequency, household size, or payment method (for example: at least two purchases of SKU A in past 90 days; exclude employees of your company)
• List the verification artifacts you will accept for recruitment (for example: recent receipt image, loyalty ID match, POS transaction ID) Options: Receipt image, Loyalty ID match, Email verification, Panel verification only, Other
• Indicate the geographic and channel constraints for the sample (for example: urban grocery shoppers in Northeast region; online-only shoppers from your e-commerce channel) Options: National, Region-specific, State-specific, City-specific, E-commerce only
• Estimate the expected recruitment lead time for the strictest segment you named (in calendar days) Options: 7, 14, 21, 30+, Unknown
• Identify any regulatory or privacy constraints that affect recruitment in your category (for example: minors excluded for alcohol, GDPR consent for EU respondents)
• State the minimum sample representativeness threshold you will accept (for example: margin of error at +/- 5%, demographic match to CRM within 5%) Options: MOE +/-3%, MOE +/-5%, Demographic match within 5%, Other acceptance criteria

Program and QA Online Survey Instrument

• Provide the final list of product stimuli and packaging images to be used in the survey instrument (file types accepted: PNG, JPG, PDF)
• How long do you want the median respondent experience to be (in minutes) for the online survey to avoid fatigue with choice tasks or concept testing? Options: 5-7 minutes, 8-12 minutes, 13-20 minutes, 20+ minutes
• Specify mandatory QA checks we must run before launch tied to question types (for example: minimum 100ms response time per item, attention check on concept slider, forced-choice validation on price tradeoffs)
• List any third-party tracking or tag blockers that must be respected in the survey (for example: no pixel tracking, disable browser fingerprinting for privacy), and whether your legal team requires a consent script Options: Consent required, No tracking allowed, Standard panel tracking allowed, Other
• Indicate the languages and localized phrasing required for item text and response options (for example: English US, Spanish for California sample)
• Identify the data export format you prefer for raw survey responses (for example: CSV with timestamp and panel ID, JSON payload matching codebook) Options: CSV, JSON, SPSS, Other
• Describe any banned question types or sensitive attributes you want removed from the instrument (for example: income band above $200k, health conditions explicit questions)

Field Quantitative Survey

• Provide the fieldwork start and end dates or the acceptable fielding window tied to your product development gate
• Estimate the maximum allowable time-to-complete for fielding the full quota set (for example: all quotas filled within 3 weeks) Options: 1 week, 2 weeks, 3 weeks, 4+ weeks
• List the panel sources or recruitment partners you prefer or require (for example: loyalty panel, POS recontact list, retailer panel) Options: Loyalty panel, Retailer recontact, General market panel, Custom recruit
• Describe quality-monitoring signals you want tracked in field (for example: soft-launch N=50 review, percent straightliners, attention-check pass rate)
• Identify any quota overflow rules or soft caps you will allow when a segment is hard to fill (for example: allow +/- 10% overflow on age quotas) Options: No overflow, +/-5%, +/-10%, Allow case-by-case
• Supply the incentive approach you prefer for this category to hit retention (for example: e-gift card, loyalty points, higher incentive for low-incidence segments) Options: e-gift card, Loyalty points, Panel reward only, Custom incentive
• Identify your required evidence of completed fieldwork for acceptance (for example: respondent metadata with receipt verification, timestamped screener logs)

Tabulate, Weight, and Statistical Test Survey Data

• Provide the weighting targets and source (for example: CRM purchase distribution by age and region, national census benchmarks) you expect applied to tabulations
• Specify the primary cross-tab breakouts you need in the deliverable (for example: household grocery spend deciles, channel of purchase, SKU choice)
• Identify which statistical tests you require for inference by recommendation (for example: chi-square for choice differences, t-test for mean hedonic scores, ANOVA for multi-group comparisons) Options: Chi-square, t-test, ANOVA, Regression, Custom analysis
• List the significance thresholds that will define specific differences for your team (for example: p < 0.05, difference > 5 percentage points) Options: p < 0.05, p < 0.01, Absolute difference threshold specified
• Describe any post-stratification grouping rules or combined-category logic you want applied (for example: combine low incidence SKUs under "other", collapse age to 18-34/35-54/55+)
• Indicate whether you require documented reproducibility (analysis script and seed) for statistical tests as part of acceptance Options: Yes, provide scripts, No, summary tables only, Optional

Code Open-Ended Responses and Thematic Analysis

• Provide the open-ended prompts that will require coding and note whether verbatim quotes will be attributed to respondent segments (for example: verbatim quotes allowed for loyalty members only)
• Describe the codeframe approach you prefer (for example: inductive initial pass then deductive mapping to brand attributes like taste, packaging, price) Options: Inductive, Deductive, Hybrid
• Specify the minimum inter-coder agreement threshold you require for acceptance of coded themes (for example: Cohen kappa > 0.7) Options: Kappa > 0.6, Kappa > 0.7, Kappa > 0.8, No threshold specified
• List the verbatim output formats you need (for example: top 10 themes with example quotes per segment in XLSX, coded CSV with code IDs) Options: XLSX top themes, Coded CSV, Narrative memo
• Indicate any categorical mappings to business KPIs required (for example: map "taste" mentions to NPS drivers or purchase intent lift)
• Identify any confidentiality rules governing quote use in deliverables (for example: remove retailer names, anonymize city-level data) Options: Anonymize locations, Remove retailer names, No restrictions, Other

Conduct In-Depth Qualitative Interviews

• Provide the interview target profile tied to product use cues (for example: primary grocery shopper, purchaser of premium SKU B in past 60 days)
• Estimate preferred interview length for concept depth and product walkthroughs (for example: 45 minutes with product usage probe) Options: 30 minutes, 45 minutes, 60 minutes, 90 minutes
• Specify whether you require video capture of usage during remote interviews and any consent wording that must appear in the screener Options: Video capture required, Audio-only, No recording
• List stimulus materials you will provide for interviews (for example: physical prototype shipped, high-fidelity mockup, claim language) and shipping constraints
• Indicate whether interviews should be exploratory or semi-structured with a fixed discussion guide and whether you need timestamps mapped to guide sections Options: Exploratory, Semi-structured with guide, Structured with timecodes
• Name the stakeholder who will attend interim interview readouts and the cadence for those check-ins (for example: weekly snapshot during first 10 interviews)

Moderate Remote Focus Groups

• Provide the group composition rules you require (for example: separate sessions by heavy vs light purchasers, max 8 participants per group)
• Estimate the number of sessions and the total participant count you expect for adequate cross-segment coverage Options: 1-2 sessions, 3-5 sessions, 6+ sessions
• Specify the stimulus presentation order and whether you require randomized exposure to concepts or price options during groups Options: Fixed order, Randomized order, Block randomization
• List any recruitment screens unique to focus groups (for example: no prior participation in last 6 months in similar research, must have household grocery spend > $X)
• Indicate the moderator style you prefer (for example: directive elicitation for product attributes, open discussion for attitudinal insight) Options: Directive, Facilitative, Hybrid
• Describe any recording, transcription, or CLT (closed-loop testing) needs for group output and whether verbatim transcripts are required Options: Transcripts required, Summary notes only, Time-coded highlights

Conduct Ethnographic Field or Home Visits

• Provide the exact activities you want observed in-home or in-store (for example: unboxing and first use, shopping trip from shelf selection to checkout)
• Estimate the number of visits and geographic spread required to capture behavior across channels and store formats Options: Local (single city), Regional (multi-city), National sampling
• Specify any safety, compliance, or retail permissions we must secure prior to visits (for example: retailer filming consent, in-store brand reps approval)
• List the artifacts you require from each visit for acceptance (for example: timestamped video clips, annotated shopper journey maps, photographed receipts)
• Indicate whether you want ethnographers to collect packaging, shelf-position photos, and price tags during in-store visits Options: Yes, all items, Photos only, No
• Describe any constraints on participant contact before visits (for example: do not reveal brand name, send neutral scheduling messages)

Run Conjoint and Price-Optimization Analysis

• Provide the attribute list and levels you want tested in conjoint (for example: pack size 8/12/16, price points $2.49/$3.49/$4.49, flavor A/B/C)
• Specify the pricing range and anchor points for price-optimization modeling tied to current list prices or test price ladders
• List the demand curve or revenue objective that defines success for price tests (for example: maximize revenue vs maximize volume) Options: Maximize revenue, Maximize volume, Target elasticity threshold
• Indicate the sample size per conjoint cell you are willing to fund to achieve stable utility estimates Options: n=50 per cell, n=100 per cell, Other
• Describe any simulated market constraints that must be modeled (for example: shelf share caps, competitor price floor, bundle discounts)
• Identify whether you require willingness-to-pay calibration to real purchase data from your CRM or POS for anchor alignment Options: Yes, calibrate to POS, No calibration, Optional

Build Behavioral Segmentation Model

• Provide the behavioral data fields available for segmentation (for example: purchase frequency, SKU mix, average basket spend, recency days)
• Specify the desired number of segments or the business rule for segment granularity (for example: 3 strategic segments for GTM, or up to 8 micro-segments) Options: 3 segments, 4-5 segments, 6-8 segments, Custom

• Master Services Agreement (MSA)
• Statement of Work (SOW)
• Data Processing Agreement (DPA)
• Participant Consent & Data Use Agreement
• Recruitment Guarantee Addendum
• Commercial Terms & Payment Schedule
• Timeline & Mutual Acceptance Criteria
• Confidentiality Agreement (NDA)
• Regulatory Compliance Addendum
• Participant Incentive & Disbursement Terms

• Findings Acceptance Review
• Roadmap Endorsement Workshop
• Implementation Readiness Check
• Realization and Follow-up Review

• Document the go/no-go conditions for the first milestone and distribute to all roadmap stakeholders.
• Schedule the Implementation Readiness Check and share the milestone tracker for status updates.
• Status of implementation blockers
• Implementation blockers resolved count is updated and clearly documented.
• Client-side owners confirm they have the required access and resources to begin the first milestone.
• A clear go/no-go condition for the first milestone is agreed and recorded.
• Update the blocker registry with resolved items and publish the remaining blocker list with resolution dates.
• Confirm data access and measurement artifacts are available and share access details with the tracking owner.
• Reconfirm acceptance criteria from Study Scope
• The count of prioritized initiatives implemented and their early outcome signals are recorded for the quarter.
• Report on implemented initiatives and early outcomes
• Remaining implementation blockers and their planned resolution dates are documented.
• A short list of enhancement requests or follow-up analyses is agreed for the next quarter.
• Publish the quarterly realization report that lists implemented initiatives, outcome evidence, and remaining blockers.
• Log enhancement requests with scope descriptions and estimated effort for prioritization in the next roadmap cycle.
• Set the date and objectives for the next realization review and share the updated milestone tracker.
• The study's findings acceptance rate is documented and linked to the acceptance criteria recorded in Study Scope.
• The count of prioritized initiatives accepted, conditionally accepted, and rejected is recorded.
• A remediation plan for any evidence gaps is agreed with tasks and completion dates.
• Publish the findings acceptance log that records acceptance status for each recommendation and link it to Study Scope acceptance criteria.
• Run the agreed supplementary analyses or sample checks to close identified evidence gaps and report results within the agreed timeframe.
• Circulate a one-page summary of accepted recommendations for internal stakeholder review prior to the roadmap workshop.
• Recap accepted recommendations
• A finalized list of prioritized initiatives is recorded with an agreed count for execution.
• Each prioritized initiative has a named client-side owner assigned and an initial target date.
• Resource gaps that could prevent implementation are identified and have mitigation tasks.
• Publish the prioritized roadmap that lists initiatives, assigned client-side owners, and target completion windows.
• Document identified resource or data gaps and propose mitigation steps with dates for resolution.
• Confirm owner readiness and access
• Present summary of key findings and confidence levels
• Review blocker burn-down since last meeting
• Prioritize initiatives by impact and feasibility
• Assign client-side owners and target dates
• Record acceptance status per recommendation
• Re-check critical data and measurement plans
• Capture enhancement requests and scope changes
• Identify resource or data gaps
• Agree next quarter milestones and tracking cadence
• Agree go/no-go conditions for first milestone
• Surface evidence gaps and remediation plan
• Finalize short-term milestones
• Agree next steps toward roadmap workshop
• Record unresolved risks and mitigation owners