> ## Documentation Index > Fetch the complete documentation index at: https://docs.bitscale.ai/llms.txt > Use this file to discover all available pages before exploring further. # SI-1: The Signal Framework > Not all signals are equal. Learn the taxonomy of B2B signals, how to evaluate signal quality, and which signals consistently drive outbound results. **SI-1 · Signal Intelligence · 100 XP · \~18 min** A signal is any observable event that indicates a company or person may be more receptive to your outreach right now than they were yesterday. The key word is "observable." You can't know what someone is thinking — but you can observe what they're doing. A company posting 8 sales job listings, announcing a \$20M Series B, and onboarding a new VP of Sales is observable. It's also a strong, time-sensitive buying signal. *** ## Signal Taxonomy Signals exist on two axes: strength (how predictive they are of buying intent) and latency (how quickly you need to act before the signal goes cold). | Signal Category | Strength | Latency | Examples | | ---------------------------- | ----------- | ---------- | --------------------------------------------------------------------- | | **First-party direct** | Very high | Hours | Pricing page visit, demo request, free trial | | **Job change** | High | Days | New executive hire in a relevant role | | **Funding event** | High | Days–weeks | Series A/B/C announcement | | **Hiring surge** | Medium-high | Days–weeks | Posting 5+ SDR/sales/growth roles | | **Product launch** | Medium | Days | New product, new market, partnership announcement | | **Competitive displacement** | Medium | Days–weeks | Job posting requires competitor tool, G2 review comparing competitors | | **Content engagement** | Low-medium | Days | Downloaded a relevant resource, attended a webinar | | **Tech stack change** | Medium | Weeks | Added or removed a tool from their stack | | **News & events** | Variable | Days | Conference speaking slot, press coverage, award | *** ## Signal Decay Every signal has a half-life. Wait too long to act and the signal is worthless. | Signal Type | Optimal Outreach Window | Why | | ------------------------- | ----------------------- | -------------------------------------------- | | Pricing page visit | Same day | Buyer is actively comparing | | Funding announcement | Within 3 days | Budget decisions made immediately post-close | | Executive hire | Within 7 days | New hire is in "make my mark" mode | | Job posting (sales roles) | Within 2 weeks | Hiring cycle in progress | | Product launch | Within 1 week | Company is in growth mode | | Content download | Within 48 hours | Interest is highest immediately | After the optimal window, you can still act — but the signal is weaker. The personalization becomes "I noticed you hired a new VP of Sales last month" which sounds less timely than "I saw you just announced \[Name] as your new VP of Sales." *** ## Signal vs. Noise: The Quality Filter Not every signal is worth building a workflow around. Apply this three-question filter: 1. **Is it specific?** — "Company is in SaaS" is noise. "Company just hired a VP of Sales from Salesforce" is a signal. 2. **Is it timely?** — Can you act on it within the optimal window? 3. **Is it actionable?** — Does it give you something specific to say in your outreach? A signal passes all three filters. Anything else is data, not a signal. **Examples:** * "They're a B2B SaaS company" → Data (useful for filtering, not for triggering) * "They raised a \$15M Series B announced yesterday" → Signal (specific, timely, actionable) * "They use Salesforce" → Data (useful for personalization, not for triggering — unless they just added it) * "Their VP of Revenue posted 3 times this week about pipeline generation" → Signal (specific, very timely, actionable) *** ## Building a Signal Detection System Signal detection in Bitscale is a combination of scheduled workflows that check for events and trigger enrichment when a signal fires. The architecture has three layers: **Layer 1: Signal sources** — where you monitor for events * LinkedIn (job postings, executive hires, company updates) * Crunchbase / PitchBook (funding events) * Google News API / Bing News (press coverage) * Job boards (Indeed, Glassdoor, Lever, Greenhouse APIs) * Your CRM (first-party behavioral signals) **Layer 2: Signal detection** — the Bitscale grid that processes raw events * Imports new events from signal sources * Classifies signal type and strength * Filters for your ICP **Layer 3: Signal activation** — the enrichment + outreach trigger * Enriches the company and contact when a signal fires * Generates personalized copy using the signal as context * Routes to sequencer or creates a task for manual review *** ## Signal Quality Scoring Column ``` Evaluate the quality of this signal for B2B outbound: Signal: {{signal_description}} Source: {{signal_source}} Date: {{signal_date}} Company: {{company_name}} Score the signal on: - Specificity (0-30): Is it specific and unique to this company? Generic = 0, highly specific = 30 - Timeliness (0-30): Is it recent? Older than 30 days = 0, within 3 days = 30 - Actionability (0-40): Does it give you something specific to reference in outreach? Return: {"specificity": N, "timeliness": N, "actionability": N, "total": N, "recommendation": "act_now / act_this_week / note_for_nurture / ignore"} ``` *** **Quick Check:** What are the two axes that define signal quality? What's the optimal outreach window for a funding announcement? What three questions separate signals from noise? *** ## SI-1 Challenge: Build a Signal Quality Scoring Grid (+100 XP) Collect 20 real signals from any combination of sources (LinkedIn, Crunchbase, news) for companies in your ICP. **Requirements:** * All 20 signals documented with: signal description, source, date, company * Signal quality score column (specificity, timeliness, actionability, total) * Recommendation column (act\_now / act\_this\_week / note\_for\_nurture / ignore) * Distribution summary: how many in each recommendation bucket? * A short paragraph on which signal type had the highest average quality score and why Share your grid + analysis paragraph. **+100 XP on approval.** *** Job changes are among the highest-converting signals in B2B outbound. SI-2 covers how to detect, qualify, and activate them at scale.