# Research Evidence & Verification Framework **MRMProLeads — Evidence-Aware B2B ABM Research** Good sales intelligence is only useful when the reasoning behind it can be understood and trusted. MRMProLeads therefore treats evidence as a core part of account research — not as an optional reference field added at the end. The objective is simple: **Research → Evidence → Confidence → Sales-Useful Decision** --- ## Why Evidence Matters A contact database can tell a sales team: > “Here is a person you can contact.” Account research should be able to answer: > “Why this account, why this person, and what supports that conclusion?” This difference matters when sales teams are prioritizing limited outreach time. --- # The Evidence Model ```text Research Finding ↓ Source ↓ Source Quality ↓ Fact / Inference Classification ↓ Confidence ↓ Sales Use ``` Every important finding should have enough context for another person to understand how the conclusion was reached. --- # 1. Source Hierarchy Not every source carries the same evidentiary value. A practical source hierarchy is: ### Tier 1 — Official Sources Examples: * Company website * Official company announcements * Regulatory filings * Government records * Official public documents Best used for confirming core company information, leadership, business activities, and official announcements. ### Tier 2 — Public Institutional Sources Examples: * Government databases * Regulatory records * Municipal records * Industry organizations * Public procurement records Useful when the information is independently documented outside the company website. ### Tier 3 — Professional Sources Examples: * LinkedIn * Professional profiles * Industry publications * Conference profiles Useful for professional context, role history, and organizational signals. ### Tier 4 — Third-Party Data Sources Examples: * Contact databases * Business directories * Data providers * Aggregated company databases Useful for research support, but important information should be independently checked where appropriate. ### Tier 5 — Inference An inference is an interpretation derived from available evidence. It should never be presented as a confirmed fact. --- # 2. Fact vs Inference One of the most important research distinctions is: **What do we know?** versus **What do we think the evidence may indicate?** ### Confirmed Fact Information directly supported by an appropriate source. Example: > The company publicly describes a specific service or business activity. ### ABM Hypothesis A reasonable interpretation of observed information. Example: > The activity may indicate relevance to a particular business problem. ### Unverified Information for which sufficient evidence has not yet been established. ### Discrepancy Two sources provide conflicting information. Instead of guessing which source is correct, the discrepancy should be recorded for further verification. --- # 3. Contact Intelligence Classification Contact information should also be classified by source. | Contact Type | Meaning | | ------------------- | ---------------------------------------------------------- | | Public / Direct | Published by the person or company through a public source | | Company Route | General company contact route | | Third-Party Sourced | Found through an external data source | | Unverified | Contact exists in research but requires confirmation | | Verified | Verification evidence supports the contact status | ### Important **Publicly available does not automatically mean verified or deliverable.** Email discovery, email verification, and deliverability are separate research steps. --- # 4. Confidence Framework Research findings can be assigned a confidence level. ### High Confidence Strongly supported by reliable and preferably independent evidence. ### Moderate Confidence Supported by reasonable evidence but may require additional confirmation. ### Low Confidence Limited evidence or unresolved uncertainty. ### Not Verified There is not enough evidence to present the information as confirmed. The purpose of confidence scoring is not to create artificial precision. It is to make uncertainty visible. --- # 5. Verification Checklist Before a research finding is treated as ready for sales use, check: ### Company * Does the company currently exist? * Is the business currently active? * Does the current operating model match the research objective? * Has acquisition, closure, merger, or rebranding been checked where relevant? ### Account Fit * Does the company match the ICP? * Is there a documented reason for targeting it? * Is the account rationale supported by evidence? ### Trigger * Is the signal observable? * Is it current enough to matter? * Is it an actual signal rather than an assumption? * Is the difference between signal and buying intent clearly stated? ### Decision-Maker * Is the person currently associated with the company? * Is the current role confirmed? * Is the role relevant to the problem or buying process? * Is the stakeholder classification a fact or an ABM hypothesis? ### Contact * What is the source? * Is it public/direct or third-party sourced? * Has verification been performed? * Is deliverability being claimed without evidence? ### Evidence * Are important claims supported? * Are conflicting sources documented? * Is uncertainty clearly labelled? --- # 6. The Research Record A strong account record can follow this structure: | Field | Purpose | | ----------------- | ----------------------------------------- | | Account | Identify the target company | | ICP Fit | Explain relevance | | Account Rationale | Explain why the account matters | | Trigger | Identify observable signals | | Decision-Maker | Identify relevant stakeholder | | Role | Explain buying influence | | Contact Source | Show where contact information came from | | Evidence | Support important findings | | Confidence | Show research certainty | | Verification Date | Show when the information was checked | | Sales Context | Convert research into usable intelligence | --- # 7. Evidence Trail The goal is to make the research auditable. A simplified evidence trail looks like: ```text Claim ↓ Source ↓ Observation ↓ Interpretation ↓ Confidence ↓ Sales Action ``` For example: ```text Observed Business Activity ↓ Official / Public Source ↓ Relevant Account Signal ↓ ABM Hypothesis ↓ Decision-Maker Mapping ↓ Personalization Context ``` This structure reduces the risk of turning weak information into strong-sounding claims. --- # 8. Handling Conflicting Information Conflicting information is normal in B2B research. Examples include: * Different executive titles * Different company descriptions * Outdated professional profiles * Different employer associations * Conflicting contact information * Old versus current business activity The correct response is not to silently choose the most convenient result. Instead: 1. Identify the conflict. 2. Compare source quality. 3. Check recency. 4. Seek an independent source where appropriate. 5. Record the discrepancy. 6. Mark the finding accordingly. --- # 9. Privacy & Public-Safe Research MRMProLeads research is designed to avoid unnecessary exposure of private information. Public-facing portfolio materials should not expose: * Private client identities without authorization * Private personal contact details * Private phone numbers * Confidential screenshots * Internal research documents * Sensitive account information Public examples should use anonymization or demonstration labels when appropriate. The purpose is to demonstrate the **research method and reasoning**, not disclose confidential information. --- # 10. Research Quality Over Data Volume More rows do not automatically mean better research. A smaller set of well-researched accounts can be more useful when each record explains: **Fit → Reason → Trigger → Person → Evidence → Sales Context** This is the difference between: ### Contact Collection and ### Account Intelligence MRMProLeads focuses on the second. --- # Final Evidence Standard Before presenting a research finding as confirmed: ```text Is the source appropriate? ↓ Is the information current? ↓ Can the claim be supported? ↓ Is it fact or inference? ↓ Is there conflicting information? ↓ Is the confidence level appropriate? ↓ Can sales actually use the finding? ``` If the answer is not clear, the information should remain: **VERIFY / EVIDENCE CHECK** rather than being presented with false certainty. --- # The MRMProLeads Principle > **Uncertainty should be visible, not hidden.** The purpose of research is not to make every field look complete. The purpose is to give sales teams information they can understand, evaluate, verify, and use. --- **MRMProLeads** **B2B ABM Research & Sales Intelligence**