The Prospect Research Reboot — 60-Min Training

The two research speeds this Reboot forces you to choose between

Most B2B research fails because reps split the difference. They spend roughly three unfocused minutes on every lead and end up both slow *and* shallow — too slow to win the speed-to-lead race on inbound, too shallow to earn a reply on outbound. This Training kills the mushy middle. It defines exactly two speeds and makes a rep commit one lead to one speed before opening a single browser tab.

Speed one — the 60-second inbound scan. This is for hand-raisers: demo requests, pricing-page fills, and MQLs that just crossed the scoring threshold. The premise is that inbound is time-sensitive, so the research budget is one minute, full stop. The rep pulls three data points — title and tenure, one recent company headline, and one personal signal if it loads before the clock runs out — and dials. There is no fourth tab, no reading the full About page, no scrolling a 200-post feed hunting for a clever hook. The whole point is that speed-to-lead beats marginal depth here, so research must fit *inside* the speed window rather than compete with it. A hook you find ten minutes late is worth less than an average hook delivered while the buyer's hand is still raised.

Speed two — the five-minute outbound deep. This is for cold, named, target-list accounts where you get exactly one shot at relevance. The rep runs the full four-source stack on a five-minute clock: buyer profile, company news, a truth-layer document (a 10-K risk factor or a funding announcement), and firmographic enrichment. The output is richer — three hooks, two questions, and one risk trigger — because the account justifies the investment and there is no live speed penalty for taking five deliberate minutes. Nobody is racing you to a cold account you chose off a list.

The deliberate trade-off is that neither speed is "better." Inbound rewards being first; outbound rewards being specific. The Reboot's core discipline is that a rep decides which economy a lead lives in *before* researching, so they never over-invest in a low-intent inbound lead or under-invest in a hard-won outbound target. Trainers frame it as the "lazy versus creepy" trap — 60 seconds prevents lazy, the five-minute cap prevents creepy — and the rest of the hour is just installing the muscle memory until the choice is reflexive rather than debated on every lead.

The four-source stack and how to decide which speed a lead earns

The Reboot standardizes research on a four-source stack, ranked by signal strength, and teaches reps to hit sources in order and stop the moment they have enough to change one sentence in the opener. Order matters: the highest-signal, fastest-to-read layer comes first, so a rep who runs out of time still walks away with the best available hook rather than a random one.

• LinkedIn Sales Navigator — the human layer. Title changes in the last 90 days, posts in the last 30 days, and warm-intro paths. A buyer under six months in seat gets a curiosity opener built around their new mandate; a buyer over three years in seat gets a credibility opener that respects their tenure. The "posted in the past 30 days" filter is the single most under-used high-intent signal on the platform — a buyer publishing about a problem is telling you what to lead with.
• Company news and the company newsroom — the narrative layer. A Google News query of the company name plus *announces, launches, hires,* or *raises* inside a 60-day window. The company's own blog and press page tell you the story leadership wants the market to believe, which you can quote back to them verbatim. Reps save one headline URL rather than a summary, so the fact stays citable and un-paraphrased.
• 10-K, 10-Q, S-1, or funding documents — the truth layer. For public targets, the SEC EDGAR Risk Factors section is literally the CFO writing down what keeps leadership awake at night. For private targets, Crunchbase or PitchBook supplies round size, lead investor, and the stated use of funds — often a near-verbatim list of the initiatives your product could touch.
• Apollo, ZoomInfo, and Crunchbase — the firmographic layer. Employee-count trend, tech stack, direct dials, and, where a team licenses it, intent data from Bombora, 6sense, or Demandbase to reveal which topics the account is already researching before you ever call.

The deciding logic is simple and enforceable: inbound leads only ever touch sources one and two, and only for one minute; outbound named accounts touch all four on the five-minute clock. Intent data, when a team has it, becomes the triage input that decides which outbound accounts even *earn* the deep dive — a hot Surge score pushes an account into the five-minute lane, while a cold, no-signal account may not be worth researching at all yet and gets parked. That triage step is what keeps the five-minute budget spent on accounts that can actually move.

The rule pinned on the wall makes the stack self-limiting: if a source did not change a sentence in your opener, it was wasted research. That single sentence is what stops reps from opening a fifth tab and calling procrastination "diligence." A rep who has already found a sentence-changing fact in source one on an inbound lead is done — they dial, rather than spending their remaining seconds gilding a hook that is already good enough to earn a reply.

The concrete numbers behind each speed

The Training earns buy-in by making the two speeds quantitative rather than a matter of taste. Reps do the math live so the constraints feel earned rather than imposed by a manager who "doesn't get it."

The inbound numbers. Speed-to-lead research consistently shows that contacting a fresh inbound lead inside roughly five minutes is dramatically more likely to convert — the widely cited figure is a rough 9x lift versus a 30-minute response, with connect odds decaying sharply after the first hour and again after the first day. That is precisely why the research budget is capped at 60 seconds: you cannot spend a five-minute dossier inside a five-minute contact window and still be first to the phone. The 60-second scan is three data points, one breath, then a dial. In the room, a trainer runs a live stopwatch and has two reps demo the same lead back-to-back — the second rep works from the screen alone with no prep — to prove three usable data points in a minute is genuinely doable, not aspirational.

The outbound numbers. Outbound named accounts justify more minutes because the economics invert: there is no live speed penalty, and relevance is the entire game. The five-minute clock allocates roughly one minute per source plus a final minute of synthesis. Minute one is the buyer plus two peers on their team; minute two is a 60-day news scan with exactly one saved headline URL; minute three is one literal sentence pulled from a Risk Factors section or a funding announcement; minute four is Apollo or ZoomInfo for tech stack and employee-growth trend, noting one tool that already integrates with yours; minute five is synthesis into the template. If a rep blows the timer, they ship what they have — perfectionism is treated as the failure mode, not thoroughness, because a five-minute cap ships fifty accounts a week while a "just one more source" habit ships fifteen.

The habit numbers. The enforcement window is 30 days because that is roughly how long it takes for a two-speed rhythm to become automatic rather than effortful. Managers review three random templates per rep per week — graded on specificity, never length. Teams that run the retrospective typically compare the 30 days before versus after and look for a 15–25% improvement in first-call conversion, alongside better connect rates and faster deal velocity from openers that actually land. Reps usually report visibly better call confidence within the first two weeks, well before the full habit fully sets, because they stop stalling and start dialing.

The trade-off the numbers expose is blunt: inbound optimizes for *time-to-contact*, outbound optimizes for *relevance-per-touch*. Trying to maximize both on every lead is exactly what produces the three-minute mush the Reboot exists to eliminate — and once a rep can name which variable a given lead rewards, the speed choice becomes obvious rather than agonized.

Implementation details and the 30-day sequencing

The heart of the hour is the extraction template — the artifact that converts raw research into language a rep will actually say out loud. Anything a rep gathers that does not slot into the template gets cut, which is what keeps both speeds honest and stops "research" from quietly becoming "browsing."

The template forces raw research through three moves. "They said or did" captures a literal quote or a specific public action — a LinkedIn post, a funding line, an executive hire — never a paraphrase. "This means" is one sentence translating that fact into a likely business pain the buyer owns today. "Our opener" is the exact, natural sentence the rep will speak on the call, referencing the fact by name. The wall rule is *bold the specific fact, never the adjective*: "I saw you just raised a $40M Series B led by Bessemer" beats "I saw you had exciting news" every single time. A complete template should take under three minutes to fill; if a rep cannot fill all three fields, they browsed instead of researched, and the missing field is the tell.

The sequencing across the hour is deliberate: five minutes framing the two-speed problem, fifteen minutes on the four-source stack with one live account walked through every layer, ten minutes drilling the 60-second inbound scan on a stopwatch, ten minutes running the five-minute outbound clock on a real target, fifteen minutes building extraction templates from each rep's own territory, and a five-minute close on where AI helps versus hurts. AI is allowed for summarizing a long 10-K into a five-bullet risk list, drafting a first-pass opener the rep then rewrites in their own voice, and triaging which accounts deserve the deep dive at all. AI is banned for naming executives, citing funding rounds, or supplying quotes, because those are the exact fields where models hallucinate a plausible-sounding fact. The rule: if AI output contains a name or a number, it gets verified against LinkedIn, Crunchbase, or EDGAR before it enters the template, no exceptions.

Enforcement is what makes the Training stick rather than merely entertain for an hour. For 30 days the extraction template is the *only* acceptable pre-call artifact — no dossiers, no ten-page docs, no winging it from memory. Each morning reps drop their top three templates into a shared channel; managers spot-check for specificity and give public shoutouts for the sharpest facts of the day, which quietly turns the whole team into an editorial standard. The hour ends with a hard gate that survives the room: every rep pastes one completed template into the team channel before end of day, and no posted template means no dials the next morning. That single consequence is what carries the discipline out of the training room and into the pipeline.

Related questions

How is this different from just telling reps to "do their research"?

"Do your research" has no ceiling, so reps either over-invest or skim. The Reboot assigns a fixed time budget per lead type — 60 seconds or five minutes — and one mandatory output template, turning an open-ended instruction into a timed, gradable drill a manager can actually coach against.

Does the 60-second inbound scan hurt personalization?

No, because it targets the three signals that actually change an opener — title/tenure, one headline, one personal post — and skips everything that doesn't. Speed-to-lead lift on inbound outweighs the marginal relevance of a fourth data point you found ten minutes too late to matter.

What if a rep insists a big account needs more than five minutes?

Let them, but only *after* a booked meeting. Pre-call research stays capped at five minutes; deep 10-K reading and stakeholder mapping happen in AE prep once the account has proven it is worth the hour. The cap protects top-of-funnel volume from one shiny account eating a whole morning.

Can smaller teams run this without paid tools?

Yes. Sales Navigator and enrichment tools add depth, but Google News, free LinkedIn, EDGAR, and Crunchbase's free tier cover three of the four layers. The template and the two-speed discipline are tool-agnostic — the rhythm matters far more than the license you hold.

FAQ

What exactly is the two-speed research rhythm? It is a rule that reps spend at most 60 seconds researching an inbound lead and up to five minutes on an outbound named account, then feed both into one talking-points template. It eliminates both the 30-minute dossier nobody reads and the 30-second skim that reads as lazy on the call.

Does this Training require paid tools? No, but it recommends a four-source stack — Sales Navigator (paid), company news (free), 10-K and funding docs (free via EDGAR and Crunchbase), and Apollo or ZoomInfo (freemium). Free alternatives cover most layers; paid tools mainly add speed and direct dials, not a different method.

How do we stop AI from inventing research facts? The Reboot restricts AI to summarization and account triage and bans it for names, funding figures, and quotes — the fields where models hallucinate. Any AI output containing a name or a number must be verified against LinkedIn, Crunchbase, or SEC EDGAR before it enters a rep's template.

What if reps already have their own research process? The Training replaces every existing pre-call artifact with one shared template for 30 days. If a team already uses a format, map its fields into the new one. The non-negotiable is consistency during the enforcement window so the habit forms before reps adapt it to their own style.

Does this work for teams handling both inbound and outbound? Yes — the two speeds exist precisely for that mix. Inbound gets the 60-second scan, outbound gets the five-minute deep, and both produce the same extraction template, so pipeline notes stay uniform regardless of where the lead originally came from.

How fast do results show up after the Training? Most teams see sharper call openers and higher rep confidence within two weeks, and run a 15-minute retrospective after 30 days comparing win rates and connect rates before versus after — commonly a 15–25% lift in first-call conversion once the rhythm is fully internalized.

Sources

1. Trish Bertuzzi, *The Sales Development Playbook* (The Bridge Group, 2016) — research discipline and the "lazy versus creepy" framing. bridgegroupinc.com
2. Aaron Ross and Marylou Tyler, *Predictable Revenue* (PebbleStorm, 2011) — dedicated SDR model and outbound personalization economics. predictablerevenue.com
3. Jason Bay, Outbound Squad — speed-to-lead and inbound personalization research. outboundsquad.com
4. LinkedIn Sales Navigator, "Lead and Account Filters" documentation. business.linkedin.com/sales-solutions/sales-navigator
5. SEC EDGAR full-text search for 10-K Risk Factors. sec.gov/edgar/search
6. Crunchbase — private-company funding, investors, and recent news. crunchbase.com
7. Bombora Company Surge intent-data methodology. bombora.com
8. Apollo.io and ZoomInfo product documentation on tech-stack and direct-dial enrichment. apollo.io · zoominfo.com

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