Useful prompts for work that needs doing.

Assess the sales opportunity using only the supplied information. Do not invent facts, motives, stakeholders, timelines, competitors, or outcomes. Distinguish negative evidence, lack of evidence, and contradictory evidence. Do not treat missing CRM fields or generic sales heuristics as proof of risk.

Opportunity data:
{{opportunity_data}}

Discovery notes and call transcripts:
{{discovery_notes}}

Stakeholder, proposal, objection, competitor, and procurement information:
{{stakeholder_commercial_data}}

CRM activity and recent communication history:
{{crm_activity}}

Check specifically for missing decision criteria, weak business impact, single-threaded relationships, unclear authority, unconfirmed timelines, inactive stakeholders, unresolved objections, competitive threats, procurement dependencies, forecast or close-date inconsistencies, and other deal-specific evidence of weakness.

Return exactly this format:

Overall assessment: [2–4 sentences covering deal health, the most important evidence, and whether the opportunity should be maintained, intervened on, requalified, or given a focused next step.]

Prioritized risk table:
| Priority | Section | Risk statement | Impact | Evidence | Evidence type | Confidence | AE validation question or resolution action |
|---|---|---|---|---|---|---|---|
| 1 | Confirmed risks / Possible risks / CRM-data gaps | ... | High/Medium/Low | Identify the specific supplied note, activity, statement, contradiction, or missing data. Use “No deal-specific evidence supplied” where appropriate. | Confirmed / Possible / Missing / Contradictory | High/Medium/Low | Give one precise question or concrete action. |

Include separate rows or clearly separated subsections for Confirmed risks, Possible risks, and CRM-data gaps. Prioritize high-impact and actionable risks first. Include only risks supported by the supplied information or clearly labeled gaps. For every high-impact risk, provide specific evidence and a question or action that could validate or resolve it. If a category has no items, write “None identified from supplied information.”

Next three validation or resolution actions:
1. [Specific action, target evidence or stakeholder, and purpose]
2. [Specific action, target evidence or stakeholder, and purpose]
3. [Specific action, target evidence or stakeholder, and purpose]

Keep the response concise, evidence-based, and usable after one light edit.

Convert the provided roadmap into a practical cross-platform posting map. Use only the information supplied in these inputs:

Roadmap:
{{roadmap}}

Selected platforms:
{{platforms}}

Proposed posting slots:
{{posting_slots}}

Platform constraints or content rules:
{{constraints}}

Return only the following fixed-format review document:

1. POSTING MAP
Create one table row for every planned roadmap item. Use these columns in this exact order:
Item ID | Theme | Key message | Audience | Call to action | Roadmap date | Assigned platform | Proposed posting slot | Status or notes

Preserve the roadmap's meaning and wording where practical. Assign items only to the provided platforms and proposed slots. If a platform or slot is not explicitly matched, mark it as "Unassigned" or "Not provided" rather than guessing. Include incomplete or unscheduled items in the table. Label unknown, missing, conflicting, or ambiguous information clearly.

2. REVIEW FLAGS
Use a separate table with these columns:
Item ID or theme | Flag type | Evidence from roadmap | Required human clarification

List every missing date, gap, duplicate or substantially overlapping theme, unclear audience, missing call to action, platform or slot conflict, constraint issue, and other item requiring human review. Do not invent details or resolve ambiguity without evidence. If no issues are found, write "None identified".

3. COVERAGE CHECK
Provide a concise checklist showing whether every roadmap item is represented, whether every required field was extracted, and whether any item remains unscheduled or incomplete. Use only: "Yes", "No", or "Partly", with a short evidence note.

Do not rewrite the roadmap as social copy. Do not add claims, testimonials, social proof, performance predictions, dates, platforms, slots, audiences, or calls to action that were not provided. Do not ask follow-up questions; record unresolved questions in the Review Flags table.

Create a concise weekly pipeline health summary from the supplied deal stage changes. Use only the information provided in these inputs:

Reporting period: {{reporting_period}}
Deal stage changes: {{deal_stage_changes}}
Optional deal context: {{deal_context}}
Stage definitions or ordering: {{stage_definitions}}

Return exactly these headings, in this order:

Overall Health
- Give a brief qualified assessment based only on observed evidence.
- Cite the stage changes or patterns supporting the assessment.
- If the data is insufficient to judge overall health, say so clearly.

Key Movement
- Summarize meaningful forward movement and backward movement.
- Identify unchanged entries only when they are explicitly supplied.
- Highlight concentration by owner, segment, close date, or other dimension only when supported by the input.
- Include counts or percentages only when the denominator and calculation are clear from the supplied data.

Risks and Watch Items
- Identify reversals, possible timing risk, concentration risk, ambiguous changes, data gaps, or other supported concerns.
- Do not label a deal stalled unless the input provides evidence of stalling or unchanged status.
- State when the supplied data cannot support a conclusion.

Positive Signals
- Identify supported signs of healthy movement, such as progression, recovered deals, or balanced movement.
- Do not treat every forward movement as positive without considering the available timing, context, and stage definitions.

Recommended Actions
- List concise actions tied directly to the observed risks or opportunities.
- Name the responsible role only when the input supports it; otherwise use a role-based recommendation such as deal owner, sales manager, or RevOps and state when ownership is not provided.
- Do not invent reasons, amounts, close dates, owners, metrics, forecasts, or next steps.

Use concise bullets suitable for pasting into a weekly pipeline review. Distinguish observed facts from interpretation. If stage names are ambiguous and no usable stage ordering is supplied, do not classify movement as forward or backward; state the limitation. Do not ask follow-up questions. Produce the best qualified summary possible from the supplied inputs.

Analyze the following SDR/BDR prospect interaction data to categorize objections, contrast stated concerns with underlying drivers, separate actionable feedback from noise, and provide enablement recommendations.

Target Persona / Segment: {{target_segment}}
Industry Context: {{industry_context}}
Raw Interaction Data:
{{raw_interactions}}

Instructions:
1. Categorize the objections into genuine types (product, price, timing, authority, competitive) versus non-actionable noise.
2. Distinguish between the literal stated objection and the evidence-backed underlying concern using direct data references.
3. Indicate frequency for every identified pattern (widespread pattern vs. isolated incident).
4. Provide specific, evidence-backed recommendations for modifying messaging, qualification criteria, or discovery questions based strictly on the provided data without outside assumptions.

You are a senior Revenue Operations (RevOps) auditor. Your task is to audit the underlying data quality and process consistency behind a revenue forecast to isolate administrative hygiene issues from true commercial risk, and recommend corrective RevOps controls.

Analyze the following inputs provided from our CRM and sales operations:

1. Opportunity Records & Forecast Data:
{{opportunity_records}}

2. Pipeline Stage Definitions & Entry Criteria:
{{stage_definitions}}

3. Activity History & Engagement Metrics:
{{activity_history}}

4. Historical Context & Past Forecast Performance:
{{historical_context}}

5. Target Sales Motion / Industry:
{{sales_motion}}

Produce a structured audit report following this exact structure:

1. EXECUTIVE SUMMARY
- High-level assessment of the forecast's reliability.
- Summary breakdown of administrative hygiene failures versus genuine commercial risks.

2. DATA HYGIENE & ANOMALY DETECTION
- Specific identification of stale opportunities, past-due close dates, and unearned stage movements (stage-skipping).
- Analysis of missing or incomplete CRM fields impacting forecast calculations.

3. TRUE COMMERCIAL RISK ASSESSMENT
- Evaluation of deals with clean hygiene but low engagement/activity history.
- Identification of inflated deal sizes or unverified probabilities based on stage criteria.

4. REVOPS REMEDIATION & CONTROLS
- Actionable, implementable CRM validation rules and mandatory evidence fields to prevent recurrence.
- Process enforcement controls and cadence adjustments for sales leadership inspection.

You are an expert Revenue Operations (RevOps) consultant. Analyze the provided revenue team handoff records to diagnose systemic process failures versus isolated execution errors, and specify high-impact structural fixes.

Context & Inputs:
- Handoff Records & Escalations: {{handoff_notes}}
- Stage Definitions & Criteria: {{stage_definitions}}
- Team Context: {{team_context}}

Perform a rigorous operational audit and output a structured diagnostic report using the following format:

1. DIAGNOSTIC SUMMARY
- Distinguish clearly between systemic process design flaws and isolated human execution errors found in the data.

2. PRIORITIZED HANDOFF FAILURES
- Categorize each failure by type: Information Gap, Ownership Ambiguity, Timing Delay, Qualification Mismatch, or Process Friction.
- Back up each category with concrete evidence from the provided records.

3. ACTIONABLE STRUCTURAL RECOMMENDATIONS
- Specify exact required fields or data points that must be captured.
- Define strict, measurable SLAs for handoff completion and response times.
- Clarify precise ownership rules and transition triggers between teams (e.g., Marketing, SDR, AE, Customer Success).

Constraints:
- Do not propose vague advice like 'improve communication'. Provide concrete rules, fields, and SLAs.
- Do not invent metrics or operational data not supported by the input.

You are a senior Revenue Operations and Marketing Attribution auditor. Your task is to audit the provided marketing and CRM attribution data, diagnose data integrity issues, explain their downstream reporting impact, and define minimum corrective actions strictly without unsupported revenue reassignments.

Analyze the following inputs carefully:

1. Attribution Data Export:
{{attribution_export}}

2. Campaign Logs & Tracking Conventions:
{{campaign_logs}}

3. Lifecycle & Pipeline Mapping Rules:
{{pipeline_rules}}

4. Primary Attribution Model in Use:
{{attribution_model}}

Perform a rigorous audit and deliver the output structured into three mandatory sections:

1. ATTRIBUTION AUDIT LOG:
- Categorize each identified attribution error by type (e.g., source inconsistency, missing tracking parameters, conflicting campaign values, duplicate touchpoints, lifecycle-stage mismatches).
- Reference specific data points from the provided export where anomalies occur.

2. DOWNSTREAM REPORTING IMPACT ANALYSIS:
- Detail exactly how each flagged data flaw distorts revenue reporting, channel ROI calculations, or conversion metrics.

3. EVIDENCE-BASED REMEDIATION PLAN:
- Specify the minimum necessary technical or process fix for each anomaly.
- Strictly forbid arbitrary revenue reassignment to channels based on assumptions or missing tracking data; only rely on hard, verifiable tracking evidence.

You are a Revenue Operations and Financial Audit Expert. Analyze the provided commercial data to uncover revenue leakage, separate confirmed leakage from potential risk, quantify impact strictly based on the provided data, and define preventative operational controls.

Dataset / Source Material:
{{dataset_text}}

Historical Renewal & Billing Records:
{{renewal_billing_data}}

Pipeline & Deal Registration Logs:
{{pipeline_logs}}

Specific Audit Focus or Constraints:
{{audit_focus}}

Perform a rigorous revenue audit adhering strictly to this structure:
1. Confirmed Revenue Leakage: List concrete instances where revenue was demonstrably lost, underbilled, or dropped based strictly on the input data. Quantify exact financial impact only where underlying data permits calculation.
2. Potential Revenue Risk: Identify pipeline stagnation, unworked opportunities, or discount anomalies that threaten future revenue without mixing them with confirmed losses.
3. Root-Cause Analysis: Identify systemic patterns leading to the observed leakage or risk.
4. Preventative Operational Controls: Provide specific, implementable system guardrails or operational processes assigned to each finding to prevent recurrence.

Do not invent financial figures, estimate missing data, or use generic best practices. Rely exclusively on the provided text.

You are a revenue operations and financial audit expert. Analyze the provided business data to identify, categorize, and quantify revenue leakage and risk, and provide actionable operational controls.

Review the following inputs carefully:

1. Pipeline/Deal Data:
{{pipeline_data}}

2. Renewal Tracking Log:
{{renewal_log}}

3. Billing and Discounting Records:
{{billing_records}}

4. Focus Area for Audit:
{{audit_focus}}

Deliver a structured revenue leakage audit report adhering strictly to these rules:
- Strictly separate confirmed historical revenue loss from potential future risk based solely on the provided data.
- Quantify financial impact figures only where direct calculation is supported by the supplied data values. Do not invent or extrapolate figures.
- Categorize failure patterns clearly (e.g., unworked opportunities, inconsistent discounting, stalled renewals).
- Provide specific, concrete operational controls designed to permanently prevent each verified leakage pattern, avoiding vague management advice.

Analyze the provided marketing and sales data to audit lead quality and campaign handoffs. Identify information gaps, poor-fit patterns, and handoff failures between marketing and sales based strictly on the provided evidence.

Campaign Context & Targeting:
{{campaign_context}}

Lead Information & Firmographics:
{{lead_data}}

Marketing Qualification Criteria & Scoring:
{{qualification_criteria}}

Sales Feedback & Rejection Reasons:
{{sales_feedback}}

Downstream Opportunity Outcomes:
{{downstream_outcomes}}

Provide a structured diagnostic report following this format:
1. Lead Quality Issues: Categorize recurring patterns of unqualified leads reaching sales.
2. Qualification & Handoff Failures: Identify ambiguous criteria driving false positives and specific information gaps during handoffs.
3. Evidence-Backed Recommendations: Provide concrete, actionable changes for marketing qualification rules, lead routing logic, and required handoff fields derived solely from the provided data.

Analyze the following qualitative customer data sources to extract, cluster, and analyze recurring verbatim customer language. Your goal is to identify high-signal phrases to inform {{messaging_objective}} for our target audience of {{target_audience}}.

Here are the customer data sources to analyze:

1. Customer Interviews / Transcripts:
{{interview_transcripts}}

2. Support Tickets / Product Reviews:
{{support_and_reviews}}

3. Survey Responses:
{{survey_responses}}

Strictly adhere to the following execution rules:
- Do not fabricate, smooth out, or alter customer quotes. Use authentic verbatim text only.
- Strictly separate direct customer verbatims from your AI synthesis and interpretation.
- Group expressions into distinct clusters: Problems/Pain Points, Desired Outcomes, Objections, and Alternatives.
- Highlight high-signal phrases that are supported by multiple distinct input sources.
- Provide actionable recommendations for applying the extracted language directly to {{messaging_objective}}.

You are a ruthless B2B go-to-market strategist and operational risk auditor. Audit the following planned B2B launch plan to identify critical failure points, strategic gaps, and operational risks before execution.

Context:
- Target Audience: {{target_audience}}
- Launch Plan & Timeline: {{launch_plan}}
- Messaging Framework: {{messaging_framework}}
- Collateral & Channels: {{collateral_channels}}
- Success Criteria & Owners: {{success_criteria}}

Perform a rigorous, objective stress-test of this strategy. Avoid generic checklists, surface-level formatting feedback, and polite filler. 

Provide your analysis in the following strict structure:

1. PRIORITIZED RISK MATRIX
- Map identified vulnerabilities strictly by potential business impact (High/Medium/Low) and evidence strength (Critical/Moderate/Speculative).

2. STRATEGIC & MESSAGING GAPS
- Detail specific contradictions, missing prerequisites, unvalidated messaging assumptions, and audience disconnects.

3. OPERATIONAL & MEASUREMENT VULNERABILITIES
- Evaluate dependent operational workflows, single points of failure in owner assignments, and blind spots in success criteria/measurement gaps.

4. ACTIONABLE REMEDIATION PLAN
- Provide concrete, high-impact fixes to resolve audience, operational, and measurement gaps without relying on generic best practices.

Analyze the following five customer-facing inputs to audit and align our product positioning, identifying internal contradictions and confusion:

1. Website Copy:
{{website_copy}}

2. Sales Messaging:
{{sales_messaging}}

3. Ad and Campaign Copy:
{{campaign_copy}}

4. Product Descriptions:
{{product_descriptions}}

5. Customer Feedback:
{{customer_feedback}}

Your analysis must evaluate inconsistencies across these five required dimensions: core problem, target buyer, value proposition, differentiation, and product category.

Provide the output in the following structure:
1. Structured audit mapping out specific contradictions found across the different channels.
2. Clear separation between confirmed logical inconsistencies and mere stylistic variations.
3. Actionable recommendations for standardizing core positioning elements (problem, buyer, value prop, differentiation, category). Do not invent external market research or fake customer quotes.

You are an expert B2B content strategist and marketing analyst. Your job is to audit existing marketing collateral against actual buyer evidence to isolate critical decision-stage content gaps and specify high-yield missing assets.

Analyze the provided information and produce a structured audit output.

### Inputs Provided:
1. Existing Content Inventory:
{{content_inventory}}

2. Customer Questions & Inquiries:
{{customer_questions}}

3. Sales Objections:
{{sales_objections}}

4. Funnel Drop-Off Analytics:
{{funnel_analytics}}

5. Commercial Priorities:
{{commercial_priorities}}

### Required Output Format:
1. Content Audit Matrix: Map existing assets distinctly across buyer journey stages (awareness, evaluation, purchase).
2. Evidence-Backed Content Gaps: Identify specific gaps tied directly to the provided customer questions, sales objections, and drop-off analytics. Do not invent metrics or objections.
3. High-Yield Missing Asset Recommendations: Specify high-value missing assets, including target audience, the primary objection or friction point addressed, recommended format, and why it is not a duplicate of existing inventory.

You are a world-class product marketing strategist specializing in messaging architecture and brand positioning. Your task is to audit the provided product materials, identify conflicting messaging across touchpoints, separate true contradictions from stylistic variations, and provide actionable alignment recommendations.

Analyze the following inputs across the core positioning pillars: problem solved, target buyer, value proposition, differentiation, and product category.

Website Copy Samples:
{{website_copy}}

Sales Messaging & Pitch Deck Text:
{{sales_deck}}

Campaign Copy:
{{campaign_copy}}

Product Descriptions:
{{product_descriptions}}

Customer Feedback Snippets:
{{customer_feedback}}

Perform the audit using this exact structure:
1. Positioning Comparison Matrix: Compare how the materials describe the problem, target buyer, value proposition, differentiation, and product category.
2. Contradiction Categorization: Explicitly separate genuine logical contradictions from mere stylistic differences.
3. Alignment Recommendations: Provide clear, definitive recommendations specifying which positioning angle to standardize across all channels to resolve each identified inconsistency.

Analyze the provided marketing content inventory, customer friction points, and funnel data to pinpoint high-value content gaps that hinder evaluation and purchase decisions.

### Inputs Provided:
1. Content Inventory: {{content_inventory}}
2. Customer Questions & Objections: {{customer_objections}}
3. Funnel Metrics & Drop-off Data: {{funnel_metrics}}
4. Target Persona & Commercial Priorities: {{target_persona}}
5. Focus Funnel Stage: {{funnel_stage}}

### Instructions:
1. Audit the existing content inventory and map current assets strictly against the specified focus funnel stage (awareness vs. evaluation/purchase).
2. Cross-reference the inventory against the provided customer questions, sales objections, and drop-off metrics to identify exact points where buyer decisions stall.
3. Pinpoint critical, evidence-backed content gaps. Do not recommend generic blog posts or duplicate assets already present in the inventory.
4. Output a structured content gap report containing:
   - Funnel stage alignment analysis
   - Evidence-backed list of critical content gaps tied directly to objections or drop-off data
   - Targeted, high-value recommendations for missing assets with clear strategic rationale

Analyze the provided inbound lead-routing performance data to identify root causes of process failure and recommend evidence-backed rule and process changes.

### Input Data
- Lead Records & Demographics: {{lead_records}}
- Current Routing Rules & Territories: {{routing_rules}}
- Ownership & Assignment History: {{assignment_history}}
- Response Times & Qualification Outcomes: {{qualification_outcomes}}

### Analysis Instructions
1. Diagnose underlying root causes rather than surface symptoms (e.g., differentiate between slow response times caused by rep bandwidth vs. ownership gaps).
2. Categorize all identified failures strictly into one of these operational domains: data quality, routing logic, territory rules, qualification criteria, ownership gaps, or process execution.
3. Prioritize the failure modes by severity and impact using the provided evidence.
4. Formulate specific, actionable rule or process change recommendations designed to fix the root causes without generic filler.

### Output Format
- Failure-Mode Breakdown: Structured categorization of issues by operational domain.
- Impact Prioritization Ranking: Evidence-based ranking of failure points.
- Actionable Recommendations: Concrete, implementable rule or process changes.

You are a rigorous CRM pipeline auditor. Evaluate the provided CRM opportunities strictly against the defined sales stage criteria to identify misaligned, prematurely advanced, or stale deals. Base your findings exclusively on the provided evidence without making assumptions about offline activities or missing data.

Sales Stage Definitions:
{{stage_definitions}}

Opportunity Records:
{{opportunity_records}}

Activity Logs, Emails, and Notes:
{{activity_evidence}}

Target Pipeline Segment:
{{pipeline_segment}}

Audit Depth:
{{audit_depth}}

Instructions:
1. Audit each opportunity by comparing its current stage against the explicit entry and exit criteria provided in the stage definitions.
2. Classify each opportunity strictly as 'Correctly Placed', 'Prematurely Advanced', or 'Stale'.
3. For any flagged exception (prematurely advanced or stale), cite explicit evidence from the activity logs mapped directly against the required criteria. Do not infer missing evidence or assume unrecorded offline progress.
4. Output a structured audit report listing every evaluated opportunity, its classification, and corresponding evidence citations.

Analyze the provided marketing-generated lead data and sales feedback to evaluate quarterly performance. Your goal is to strictly separate raw lead volume from actual lead quality, identify high-converting patterns, flag low-performing segments, and recommend evidence-based marketing optimizations without assuming unproven channel causality.

Input Data:
1. Acquisition Sources & Campaigns: {{acquisition_data}}
2. Audience Segment Traits: {{segment_definitions}}
3. Sales Feedback & Progression: {{sales_feedback}}
4. Volume vs Quality Metrics: {{volume_metrics}}

Provide your analysis in the following structured format:
1. Volume vs Quality Separation: Contrast raw acquisition volume against qualified opportunity and closed-won counts per segment.
2. High-Value Patterns: Identify specific acquisition sources or audience traits that correlate directly with high-value opportunities based strictly on the supplied data.
3. Weak Lead Samples: Flag campaigns or segments generating high volume but low conversion.
4. Evidence-Backed Adjustments: Recommend specific marketing optimizations supported directly by the input data without claiming unsupported channel causality.

You are an expert enterprise sales auditor and methodology coach. Your task is to audit an active sales opportunity against strict qualification evidence to validate forecast credibility and uncover hidden deal risks.

Deal & Stage Information:
{{deal_details}}

Recent Buyer Interaction Evidence (Call notes, transcripts, emails):
{{interaction_notes}}

CRM Entries & Rep Notes:
{{crm_notes}}

Desired Stage Goal:
{{target_stage}}

Perform a rigorous, objective audit of this deal based strictly on the provided evidence. Do not accept rep assumptions, internal optimism, or checked CRM boxes as proof. 

Provide your analysis in the following structured format:

1. EIGHT-POINT QUALIFICATION EVALUATION
Evaluate each of the following categories, explicitly separating confirmed customer-stated facts from unverified internal assumptions:
- Pain
- Impact
- Decision Process
- Economic Authority
- Timeline
- Budget / Commercial Path
- Competition
- Concrete Next Steps

2. CRM STAGE VERDICT
State clearly whether the current CRM stage status is fully justified by the verified evidence above, or if the deal is currently inflated.

3. PRIMARY FORECAST RISK
Identify the single missing evidence item that poses the greatest existential threat to closing this deal and forecasting it for the current period.

You are an expert growth marketing diagnostician and data analyst. Your task is to diagnose an underperforming marketing campaign objectively and systematically, separating surface-level symptoms from root causes without inventing missing data.

Campaign Objective and Target KPIs:
{{campaign_objective}}

Quantitative Campaign Metrics:
{{campaign_metrics}}

Audience Definition and Targeting Parameters:
{{audience_definition}}

Creative Assets and Messaging Copy:
{{creative_assets}}

Channel-Specific Performance Data:
{{channel_data}}

Analyze the provided data strictly and output your diagnostic report in the following format:

1. FUNNEL DROP-OFF ANALYSIS
- Identify the exact drop-off point in the conversion funnel using the provided metrics.
- Separate surface-level symptoms (e.g., low CTR) from underlying systemic causes (e.g., poor audience-market fit).

2. ROOT CAUSE HYPOTHESES
- List the primary root causes strictly supported by the empirical data provided.
- Avoid jumping to causal conclusions based purely on correlation.

3. PRIORITIZED HYPOTHESES
- Rank the hypotheses strictly by the strength of the supporting evidence.

4. VALIDATION TESTS
- Provide a minimal, high-leverage set of A/B or diagnostic tests to validate the leading hypotheses.

You are a revenue data quality engineer and CRM auditor. Audit the provided raw CRM data export to identify missing, contradictory, stale, duplicated, or structurally inconsistent revenue data. Do not invent missing values or fabricate records.

CRM Data Export:
{{crm_data_export}}

Core Revenue Fields to Audit:
{{revenue_fields}}

Pipeline Stages and Automation Rules Context:
{{pipeline_context}}

Target Output Format:
1. Audit Summary Table: Categorize each identified data issue including Severity (High/Medium/Low), Affected Process, Operational Consequence (specific reporting or automation failure), and Supporting Evidence from the dataset.
2. Data Cleanup Rules: Provide specific, deterministic data cleanup rules and ownership actions for each class of error without assuming unstated values.

You are an expert product marketing strategist and customer research analyst. Audit the provided marketing messaging against the raw audience evidence to identify unsupported claims, surface missing customer language, and recommend evidence-backed messaging improvements.

### Input Data
Current Marketing Messaging:
{{current_messaging}}

Customer Interview Transcripts:
{{interview_transcripts}}

Sales Call Notes & Objection Logs:
{{sales_notes}}

Customer Support Tickets & Feedback:
{{support_tickets}}

Public Product Reviews & Surveys:
{{public_reviews}}

### Instructions
Analyze all supplied audience evidence against the current marketing messaging. Strictly separate observed customer quotes from your interpretations as a marketer. Do not invent customer testimonials or fabricate supporting data.

Deliver your output using the following exact structure:

1. Claim Audit Matrix
Classify every major claim from the current messaging into one of four categories:
- Strongly Supported
- Weakly Supported
- Contradicted
- Unsupported
Provide the exact current claim and reference the specific evidence backing your classification.

2. Missing Customer Language & Pain Points
List frequent customer pain points and exact verbatim customer language found in the evidence that are currently absent from the marketing copy.

3. Evidence-Backed Messaging Recommendations
Provide actionable recommendations for messaging changes. Every recommended change must be explicitly tied back to at least one supplied piece of audience evidence, keeping observed customer language strictly distinct from marketer interpretation.

Analyze the active competitive sales opportunity below to identify specific displacement risks, separate confirmed facts from assumptions, and recommend the single most important competitive gap the AE should address.

Context & Inputs:
- Prospect Requirements: {{prospect_requirements}}
- Current Solution / Incumbent: {{incumbent_details}}
- Stated Objections & Barriers: {{switching_barriers}}
- Known Competitor Strengths: {{competitor_strengths}}
- Deal Stage: {{deal_stage}}

Strictly adhere to the provided inputs without inventing competitor capabilities or customer preferences.

Provide your analysis in the following exact format:

1. DISPLACEMENT RISKS
List specific displacement risks with supporting evidence drawn directly from the inputs.

2. FACTS VS. ASSUMPTIONS
Clearly demarcate verified facts from unverified assumptions based on the provided data.

3. PRIMARY COMPETITIVE GAP
State the single most important competitive gap the AE should address next, explaining why it takes priority over all others.