Outbound glossary
Key terms in signal-driven outbound, founder-led sales, and judgment-first prospecting.
Founder Profile
The Profile is SignalSharp's persistent context object for product, ICP, tone, and reputational standards.
The Profile is the structured object SignalSharp uses to understand what you sell, who you sell to, and what kind of outreach you consider legitimate. Without a stable judgment reference, every signal has to be interpreted from scratch. The Profile makes that interpretation consistent over time. It captures product description, ICP definition, tone preferences, risk tolerance, and reputational standards. It is not a prompt. It is a reusable context object the system carries across all signal interpretation. It improves as founders accept, reject, and calibrate opportunities.
Opportunity Feed
A ranked, continuously updated list of outbound prospects who have passed signal interpretation and judgment scoring.
The Opportunity Feed is the output layer of a signal-driven outbound system. It presents only prospects who have passed all stages of signal interpretation and judgment evaluation, ranked by relevance score. Unlike a prospect database or contact list, the Opportunity Feed is not a static repository — it is a dynamic, continuously updated queue of actionable outreach candidates. Each entry includes the signal that triggered the candidate's inclusion, the relevance score, and the reasoning behind the judgment. The feed is deliberately constrained in volume: a smaller number of high-confidence opportunities is more valuable than a large number of uncertain ones.
Signal-driven outbound
An outbound prospecting approach that starts from a publicly observable event rather than a static contact list.
Signal-driven outbound is a method of identifying outbound prospects by monitoring for live, publicly observable events — such as hiring announcements, funding rounds, podcast appearances, or social posts — that create a specific, verifiable reason to make contact. Unlike list-driven outbound, which starts from a database of contacts and works toward a justification for contact, signal-driven outbound starts from an event and works toward a decision about whether outreach is warranted. The signal must be recent, specific, and genuinely connected to a commercial fit before contact is considered.
Judgment pipeline
The multi-pass evaluation process that determines whether a signal justifies outbound contact.
A judgment pipeline is a structured, multi-step evaluation process applied to every inbound signal before it is surfaced as an outbound opportunity. SignalSharp's judgment pipeline runs 11 passes on each signal, evaluating: legitimacy (is the signal real and verifiable?), ICP fit (does the contact match the defined ideal customer profile?), signal freshness (is the event recent enough to be actionable?), commercial relevance (does the signal connect to a genuine use case for the product?), tone alignment (does the contact's context match the founder's communication preferences?), and reputational risk (would contacting this person create risk for the sender's reputation?). Signals that fail any pass are rejected before reaching the Opportunity Feed.
ICP
Ideal Customer Profile. A definition of the specific type of customer most likely to benefit from and pay for a product.
An Ideal Customer Profile (ICP) is a detailed description of the company and buyer most likely to derive genuine value from a product and convert to a paying customer. A well-defined ICP typically includes: company stage (e.g. Series A–B), company size by headcount or revenue, industry or vertical, buyer role and seniority, and the specific pain or trigger that makes the product relevant. In the context of outbound prospecting, the ICP determines which signals are worth acting on and which should be filtered out. A contact who does not match the ICP should not receive outreach regardless of signal strength.
Anti-volume guardrails
System constraints that prevent outbound volume from expanding beyond what genuine signal quality supports.
Anti-volume guardrails are constraints built into a signal-driven outbound system to prevent the natural tendency toward volume creep — the gradual expansion of outreach to contacts with weaker and weaker signals. Volume-based outbound tools are designed to maximise the number of messages sent. Anti-volume guardrails do the opposite: they enforce a ceiling on the number of opportunities surfaced, ensuring that only contacts with genuinely strong, recent, and relevant signals appear in the feed. In practice this means the system will surface fewer opportunities when signal quality is low rather than filling the feed with marginal candidates.
AI SDR
An AI-powered sales development representative — software that automates outbound prospecting and messaging at scale.
An AI SDR (AI Sales Development Representative) is software that automates the tasks traditionally performed by a human SDR: identifying prospects, researching them, generating personalised outreach messages, and sending them at scale. AI SDRs are designed to maximise outreach volume and are optimised for throughput — sending as many messages as possible to as many contacts as possible while maintaining surface-level personalisation. They are distinct from judgment-first outbound tools like SignalSharp, which are designed to minimise volume while maximising signal legitimacy and reputational safety. AI SDRs are typically suited to high-volume B2C or transactional B2B contexts; they are generally inappropriate for founder-led sales in tight-knit professional communities where reputational risk is high.
Drift detection
Automatic identification of when a Founder Profile has become misaligned with real-world behavior, triggering a recalibration prompt.
Drift detection is a feature of continuous calibration systems that monitors for divergence between a stored profile (such as a Founder Profile) and observed behavior over time. In SignalSharp's context, drift occurs when the signals a founder accepts or rejects begin to contradict the standards encoded in their Founder Profile — indicating that either the product positioning has changed, the ICP has evolved, or the calibration thresholds have drifted from the founder's actual judgment. When drift is detected, the system surfaces targeted recalibration prompts pre-populated with the current values and suggested corrections based on recent behavioral patterns.
Relevance scoring
A numerical score assigned to each signal candidate representing how well they match the Founder Profile, ICP, and current outreach context.
Relevance scoring is the process of assigning a quantitative score to each signal candidate based on how closely they match the criteria defined in the Founder Profile. The score incorporates multiple dimensions: ICP fit (company stage, size, role), signal quality (recency, specificity, verifiability), commercial relevance (connection between the signal and the product's value proposition), and contextual alignment (tone, communication style, and reputational considerations). In the Opportunity Feed, candidates are ranked by relevance score rather than by recency or alphabetical order, ensuring the highest-confidence opportunities appear first.