Signal Desk Playbook

Why build outbound on signals

Firms that run deals buy tools when the workload is about to grow. A new fund means a deployment period is starting. A new acquisition stack means a deal is being signed, and the portfolio work comes next. A new firm or advisory boutique means a team setting up its tools for the first time.

The UK register records each of these events as soon as the entity is formed, usually before any press release. Reaching a firm in that window means a GTM Associate is contacting someone who has a reason to talk now, not a list name with no context.

The method is simple: signal → sponsor → persona → play. The register supplies the first step. The associate's research, done in a fixed way, supplies the rest.

Last 12 months, from the feed

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Targeting: fit × timing tiers

Each signal gets a tier from rules anyone on the team can apply the same way. Counts are live from the last 12 months of the feed.

Tier	Rule (applied to the feed)	Why it ranks here	Entities	Handling
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Tiers are only a starting point. Before anything is sequenced, an associate confirms the sponsor through the entity's officers and persons with significant control on Companies House and the firm's own website.

Coverage planner

How many associates the signal volume supports. Signal volumes are real (monthly average over the last 12 months). Every other figure is an assumption: set it from the team's own baseline.

Region Signal types in scope

Assumption · % of signals that turn into a researchable target account Assumption · Associates on the team Assumption · New signal accounts each associate researches and sequences per week Assumption · % of sequenced accounts that book a first meeting

Who we sell to

Buying roles at a mid-market sponsor or advisory boutique, what their week involves, and what each one needs to see.

Analyst / Associate

PE, VC, infrastructure, corporate finance

Their week: Screening information memoranda, building comps and market maps, first drafts of investment committee papers, pulling data from filings and data rooms.
Where AI helps: First drafts, document Q&A across a data room, comps and precedent pulls, every answer with a source they can click.
Role in the deal: Daily user and most likely champion.
Typical objection: “I can’t put a number in front of a VP unless I know where it came from.”
Proof they need: Cited output on a document they already know well.

VP / Principal

Runs the deal process

Their week: Running live processes, reviewing junior work, managing advisers and lenders, preparing for investment committee.
Where AI helps: Faster turnaround on first drafts and less time spent reviewing them; more processes covered per team.
Role in the deal: Influencer and often the person who sponsors a pilot.
Typical objection: “Doing the work is how juniors learn.”
Proof they need: Review time saved on a live workstream, with quality unchanged.

Partner / MD

Origination and investment committee

Their week: Sourcing, relationships, investment committee decisions, fundraising and LP updates.
Where AI helps: Covering more of the market with the same team; consistent, faster investment committee preparation.
Role in the deal: Economic buyer at most mid-market firms.
Typical objection: “Our deal data can’t leave our control.”
Proof they need: A clear security position and a peer firm’s experience.

COO / CFO / Head of Operations

Owns vendors, risk and budget

Their week: Fund operations, compliance, vendor management, IT and security.
Where AI helps: One governed tool instead of staff pasting deal data into general chatbots.
Role in the deal: Gatekeeper on the paper process and security review.
Typical objection: “We don’t have capacity for another security review.”
Proof they need: Security documentation, a data processing agreement, and access controls that respect information barriers.

Founding partner, new firm

Spin-outs and new managers

Their week: Raising the first fund, hiring, setting up operations, and still doing deals themselves.
Where AI helps: Research capacity of a larger firm before hiring the team to match.
Role in the deal: User, champion and buyer in one person, so cycles are short.
Typical objection: “We’re not ready yet; fund one first.”
Proof they need: Fast time to value on the fundraising and pipeline work they are doing right now.

Director, advisory boutique

Corporate finance, M&A, debt advisory

Their week: Pitches, information memoranda, buyer and lender lists, running sale processes with lean teams.
Where AI helps: Pitch and memorandum drafting, buyer universe research, process Q&A.
Role in the deal: Buyer and user; the firm’s founder often signs.
Typical objection: “Our clients expect partner-level judgement, not software.”
Proof they need: The same partner judgement with more of the groundwork done for them.

Plays: signal → angle → sequence

One play per signal type. The messages are templates, and anything in [brackets] is filled in from the associate's research.

Ground rule: never open with “I saw your Companies House filing.” The filing is a reason to look, not something to say. Reference a fund or deal by name only once it is public on the firm’s website or in the press. Otherwise, the timing does the work and the message stays about the buyer’s workflow.

Qualification: MEDDICC for selling AI into finance

What each letter means at a 30-person private equity firm. An associate hands an opportunity to an account executive only when the fields marked ● are captured.

Element	What it looks like here	Questions associates ask	Handoff
Metrics	Hours per investment committee paper or memorandum screen; deals screened per month; turnaround on first drafts.	“How many memoranda did the team look at last quarter? How long does a first-pass screen take?”	●
Economic buyer	Managing partner or COO at mid-market; head of innovation or the business COO at larger banks.	“Who signs off on new tools for the deal team?”	Named
Decision criteria	Accuracy with citations, data security and residency, access controls that respect information barriers, connections to the data sources they already use.	“What would a tool need to prove before anyone used it on a live deal?”	●
Decision process	Pilot with one deal team → security and compliance review → partner sign-off.	“Last time you brought in a tool, what were the steps?”	Outline
Paper process	Master agreement, data processing agreement under UK GDPR; outsourcing rules for FCA-regulated firms (SYSC 8); for EU entities, ICT third-party rules under DORA.	“Is the firm FCA-authorised? Who runs vendor due diligence?”	Later
Identify pain	Work that piles up when deal flow peaks; juniors stretched across processes; general chatbots used without controls.	“Where does the team lose evenings during a live process?”	●
Champion	An associate or VP who would use it daily and wants the credit for bringing it in.	“Who on the team would try this first?”	●
Competition	The status quo (analysts plus spreadsheets), general AI assistants, and other finance-specific tools.	“What are people using today, officially or not?”	Noted

Team operating system

How a GTM Associate team runs: the weekly rhythm, the research standard, onboarding new associates, and how calls are reviewed.

Weekly rhythm

Monday: signal triage. New register entries (monthly) and news are split up by tier and territory; check for duplicates against the CRM.
Tuesday–Thursday: protected research and sequencing blocks in the morning, calls in the afternoon.
Thursday: marketing sync on campaigns and inbound routing.
Friday: one recorded call reviewed as a team, pipeline review against exit criteria, and next week's targets agreed.

Signal-to-sequence standard

Open the entity on Companies House; note officers and persons with significant control.
Identify the sponsor firm and match it against the CRM.
Tier it with the rules above and pick the play.
Find 2–3 people across personas, not just one.
Write a first line about their workflow, not the filing.
Log the signal type, date and source URL on the account.

Onboarding: first 8 weeks

Weeks 1–2: product certification; learn the deal process end to end (sourcing → screening → diligence → investment committee → closing → 100-day plan); shadow 10 calls; build 20 accounts from the feed.
Weeks 3–4: first sequences live; manager reviews every first line before sending; first two discovery calls with manager support.
Weeks 5–6: full weekly sequencing target; runs discovery calls alone; call reviews twice a week.
Weeks 7–8: qualification certification (a mock call scored on the rubric); handoffs to account executives without manager review.

Call review rubric

Opening	Gives a specific, workflow-based reason for the call within 20 seconds.
Discovery	Learns the workflow, volumes and who is involved before pitching.
Qualification	Captures the handoff fields (Metrics, Pain, Champion, Decision criteria).
Objections	Handles security and accuracy questions with specifics, not reassurance.
Next step	Ends with a date, attendees and an agenda.

Scored 1–4 on each. A call that scores 15 or more out of 20 goes into the team's library of good examples.

CRM standards

Without clean fields, pipeline metrics can't be trusted. These are the minimum required, plus the exit criteria for each stage.

Required field	Values
Signal type	Fund LP · GP/carry · Deal vehicle · Manager · Advisory · Inbound · Other
Signal date	Date of registration or the news item
Signal source	Companies House or news URL
Sponsor group	Parent firm for any fund or deal entity
Tier	A · B · C, from the rules above
Play	Which play the sequence used
Persona	Per contact
Next step date	Required on every open record

Stage	Exit criteria
Researched	Sponsor confirmed; 2+ contacts across personas; tier and play set
Sequenced	Sequence live with a personalised first line
Engaged	Reply or call connected
Meeting booked	Date, attendees and agenda sent
Qualified	Metrics, Pain, Champion and Decision criteria captured
Handed off	Account executive accepts within 2 working days, or returns it with a reason

Weekly scorecard

The definitions are fixed. The targets are inputs: set them after 4 weeks of baseline data instead of borrowing someone else's benchmarks.

Metric	Definition	Why it matters
Signal accounts researched	Accounts moved to Researched this week	Leading indicator; capacity check
Signal-to-touch time	Median days from signal date to first touch	The whole idea relies on timing
Reply rate by play	Replies ÷ sequenced, per play	Shows which angles to keep or retire
Meetings held	First meetings that happened (not booked)	Output the account executives can feel
Qualified handoff rate	Accepted handoffs ÷ meetings held	Quality of qualification
Pipeline by signal type	Qualified pipeline value, split by signal type	Proves (or disproves) the signal approach
CRM completeness	% of open records with all required fields	Without it, nothing above can be trusted

30 / 60 / 90 days as GTM Manager

Days 1–30 · Learn and measure

Ride along on calls with every associate and two account executives; take the product certification.
Audit the CRM against the required fields; set the baseline for each scorecard metric.
Map current outbound: sequences, reply rates by message, and where the pipeline comes from.
Run the signal feed alongside existing lists as a test with one associate.

Days 31–60 · Standardise

Roll out the signal-to-sequence standard, the call review rubric and the stage exit criteria.
Rebuild sequences by play; retire messages with the lowest reply rates.
Agree the qualification bar and handoff standard with the account executives.
Set up the marketing sync and inbound routing rules.

Days 61–90 · Scale

Set scorecard targets from the baseline; weekly reviews run on the dashboard.
Write the onboarding plan and hiring profile for the next associates.
Report pipeline by signal type and keep investing where it converts.
Extend coverage beyond London and plan EMEA expansion.

From registry signal to qualified pipeline.