★ The Method in Practice

One Account, Start to Finish

The whole loop, run on a single account

The seller and target here are fictional, chosen to be realistic. The method is exactly what you have just learned. You have met Meridian and Coastline Mutual in fragments through the six stages. Meridian is a customer-data and CX consultancy selling into regulated enterprises, carrying a broad set of services and a full territory with no support. Coastline Mutual is a fictional mid-sized insurer. Here is the pursuit run start to finish, a Monday to Thursday through the loop.

Signals: the SIGNAL Research Brief

The seller opens the teammate and feeds it Coastline’s results summary, strategy page, two executive interviews and the LinkedIn profiles of the data and customer functions. Ten minutes later:

Output · SIGNAL Research Brief (extract)

Snapshot: mid-sized mutual insurer, two acquisitions in three years, publicly committed to a “unified member experience” by next financial year. Signals: new Chief Customer Officer appointed four months ago (strong evidence); active hiring for data engineers (strong); mentions of “fragmented member data” in the last results call (strong); a stalled loyalty initiative (inferred, low confidence). Risk: the programme is board-visible, so it will move, but scrutiny will be high.

Interpret: which service to lead with

This is the decision that matters, and the reason the method exists. Meridian could lead with any of five services. The teammate is asked to turn the signals into hypotheses framed as Coastline’s problem, and to say which service is most relevant to each.

Output · SIGNAL Leading Hypothesis

“The unified member experience depends on consolidating member data across the acquired systems, and the new CCO owns that outcome without yet owning the data. The relevant lead is data consolidation with compliance built in, not the loyalty tooling. Confidence: medium-high, from the hiring pattern and the results-call language. To confirm: whether an integration owner has been named.”

The seller now knows what to lead with and why now, rather than guessing.

Ground and Navigate: the SIGNAL Outreach Planner

Before reaching out, the seller has spent weeks commenting thoughtfully on the CCO’s posts, so the name is already faintly familiar. The teammate then builds a coordinated sequence, not a single email.

Output · SIGNAL Outreach Planner (extract)

Lead with: data consolidation as the foundation of the member-experience goal. Sequence: a LinkedIn engagement referencing the CCO’s own post on member trust; then a short email framing the integration risk that sits under the programme, with one insight from a comparable insurer; then a brief call referencing both; then a follow-up sharing something genuinely useful. One idea, reinforced across four touches, in the seller’s voice.

Ask: the SIGNAL Discovery Brief

The CCO agrees to a first conversation. The seller asks for the signature output: a one-page brief that makes them the most prepared person in the room.

Output · SIGNAL Discovery Brief — Coastline Mutual, first meeting with the CCO

Executive summary. Board-visible member-experience programme, dependent on consolidating fragmented member data. New CCO owns the outcome, not yet the data.

Signals. New CCO; data-engineer hiring; “fragmented member data” on the results call; deadline next financial year.

Hypotheses. Data consolidation is the true blocker; integration risk is under-owned; timeline pressure is real.

Discovery questions. When you review progress against the deadline, what would have to be true about member data for it to hold? Who owns integration risk today? What happens to the programme if it slips?

Qualification checklist. Metric, economic buyer, decision process, budget, champion, competition. Unknowns: budget, whether an integration owner exists.

Objective. Confirm the data-consolidation hypothesis and identify the economic buyer. Next action: earn a working session with the data lead.

Loop: the SIGNAL Deal Coach, with a wrinkle

The meeting goes well, but not perfectly. The CCO is engaged, the hypothesis lands, but budget is vague and the data lead was not in the room. The seller debriefs honestly with the teammate as coach.

Output · SIGNAL Deal Coach

“Encouraging, but do not over-read it. The weakest link is a sponsor without confirmed budget and no relationship with the person who owns delivery. The champion is real but cannot sign. Before this moves a stage, get the data lead engaged and one budget signal. If the CCO goes quiet, that is your warning this is an aspiration, not a funded programme. This week: use the CCO’s enthusiasm to get introduced to the data lead.”

What this run shows

Research became a hypothesis, the hypothesis chose the service and the outreach, preparation earned the meeting, and honest coaching set the next step and named the risk. AI did the groundwork; the seller made every judgement that mattered. Real deals are messier than this, and that is the point: the value was being prepared enough to notice, in the room, that the person who owns delivery was missing, and having a coach honest enough afterwards to say the budget was not real yet. That is the difference between a happy sheet and a qualified opportunity.

◻ The Method on Screen — the same pursuit, on screen

The worked example was the story. What follows is the same Meridian and Coastline pursuit, run through the Companion Skill so you can see the shape of the actual output at each stage, unscripted beyond the fictional source material fed into it. Coastline Mutual is not a real company; nothing here needs redacting.

Read this before the next few pages: verify, even here

Every output on these pages reads confidently. That is exactly the habit to watch for. In a real run, the AI will occasionally state a title, a date, a figure or a market claim with the same fluent confidence, whether or not it is actually grounded in your source material. Notice the evidence and inference tags below: those are the teammate telling you where it is guessing. It will not always tag itself so honestly, and it can be wrong even where it sounds sure. Treat every AI-stated fact, above all names, dates, titles and numbers, as unverified until you have checked it against the source. That habit matters more on a real account than it does here.

Companion Skill · workflow menu

Welcome back. Which workflow?

  1. Research an Account — The SIGNAL Method
  2. Prepare Outreach
  3. Prepare a First Discovery
  4. Review an Opportunity
  5. Build an Account Plan
  6. Review my LinkedIn Post
  7. Coach my Email
  8. Weekly Territory Review

The Companion Skill loads and offers its workflow menu. One consistent place to start every account.

Key signals

Evidence
  • “Unified member experience” is the stated priority for next financial yearConfirmed in Coastline’s published strategy update, this financial year
  • New Chief Customer Officer, four months in postPriya Nathan appointed with a mandate covering the member-experience programme
  • Active hiring: data engineers, three open rolesPostings reference “member data consolidation” directly
  • “Fragmented member data” named on the last results callFlagged by leadership as a stated constraint, not investor spin
  • Two acquisitions in three years, each on its own policy systemNeither has been consolidated onto a single platform
Inference
  • A member-rewards initiative announced 18 months ago has gone quietNo recent mentions in results commentary or careers content; may be stalled pending the data foundation
  • Personalisation ambition likely outpacing current data maturityHiring pattern plus the CCO mandate suggest a capability gap, not a resourcing gap
  • Two-brand policy admin creates a genuine integration problemNot yet confirmed how leadership is resourcing this internally
  • Access paths (warm connections): Priya Nathan · Marcus Webb · 2nd degree, 18 mutual

Signals, graded as evidence or inference from the fictional source material. The discipline is visible: the AI separates what it was told from what it is guessing. In a live run, verify both, since the evidence tag is the teammate’s own claim, not proof.

Priya Nathan · Chief Customer Officer · LinkedIn sequence

Day 1Day 7Day 14
Insight hook
The data foundation is the real blocker
Hypothesis 1 · Experience layer gap
Peer benchmark
What comparable insurers are doing
Hypothesis 2 · Personalisation gap
Direct ask
20 minutes. No deck.
Conversion · Low friction ask

The SIGNAL Outreach Planner builds a coordinated three-touch sequence, each touch reinforcing one hypothesis, rather than a single message.

8 discovery questions, mapped to hypothesis

H1: Experience layerH2: PersonalisationH3: Servicing workflow
Who owns the member data layer across both acquired systems today?What happened to the member-rewards initiative from 18 months ago?How are policy servicing and claims handled across the two brands today?
How are you sequencing the “unified experience” deadline against the data work?What would personalisation at scale actually require that you do not have today?Is that workflow converging, or still running as two separate operations?

Watch out: Nathan is data-literate and will test whether you understand the two-system problem specifically. If the conversation drifts to “we’re simplifying, not adding,” pivot to the qualification questions.

The signature output. Eight discovery questions mapped to the hypotheses, with a suggested meeting flow and a watch-out. Read to test belief, not to demo.

Weakest link

No champion. Everything else can be worked on. Without a champion, someone with genuine pain, internal credibility, and motivation to make this happen, the deal will drift. Nathan is a door, not an engine, until proven otherwise.

Pre-mortem: deal lost in six months. Why?

Risk 1Risk 2Risk 3
The unification deadline slips and the conversation loses urgencyIT or data governance blocks scope before it reaches procurementNathan never becomes a champion. Deal drifts through interesting conversations
Action: Anchor every conversation to the published deadline, not a general “digital” themeAction: Ask directly who in IT would need to be involved if scope expands. Map them before they map youAction: Ask Nathan to set up one internal meeting with someone senior. If she won’t, you don’t have the entry point you think you do

The SIGNAL Deal Coach, being honest. It named the weakest link, no champion, and ran a pre-mortem with an action against each risk, rather than flattering the plan.

Coastline Mutual account plan · two parallel threads

This account is genuine white space. There is no existing Meridian footprint. The plan is built around two stakeholders who each own half the problem.

Thread A · CCO / Member Experience
  1. Play 1: launch the Nathan sequence. 3-touch LinkedIn sequence already built, independent of Thread B, run in parallel.
  2. Play 2: run the discovery meeting. Full pack ready. Objective: confirm the data-consolidation hypothesis.
  3. Play 3: test champion potential. Ask Nathan to arrange one internal introduction. No referral, re-evaluate entry point.
Thread B · CIO / Technology
  1. Play 1: identify Marcus Webb. CIO owns the two policy admin systems, the person who bridges both threads.
  2. Play 2: map the governance landscape. Ask who in IT and compliance would need to be involved. Get names, not functions.
  3. Play 3: connect the threads. Bring Nathan and Webb together only once both are independently active. Not before.

Thread convergence trigger: connect Thread A and Thread B once both stakeholders are independently engaged. Not before. The SIGNAL Account Plan, built to a clean two-thread structure. Claude currently handles this build-to-format work more reliably than ChatGPT.

Want the whole method as one document?The complete field guide has the full walkthrough, all six build exercises, and the appendix of ready-to-paste prompts.

Download the Field Guide