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Concept Brief — Client Expansion Finder
Date: 2026-03-26 Status: Draft — validating direction Position in series: Session 1 of 3 (Intensive: Find → Prove → Close) Intensive session: Tuesday — "Your Next 3 Clients Are Already In Your Phone" Handraiser ancestor: Hidden Revenue Scan (Skill #2) — same signals, different input modality
The Problem
Practice owners have revenue hiding in relationships they already have. Not in their pipeline. Not in prospects. In the clients they're already serving. Three ways it hides:
- They're doing work they're not billing for — invisible services that never made it into the scope
- Clients need more but nobody's asked — the services catalog exists, but nobody cross-referenced it against who's buying what
- Clients are signaling growth readiness and nobody's reading it — expansion language, referral behavior, and engagement patterns that mean money, sitting in plain sight
IP Direction (Source Material)
These are the concepts this skill is built from. The Client Expansion Finder is the Practice Brain version of the Hidden Revenue Scan — same signal detection methodology, but reading from structured roster data across ALL clients instead of pasted emails from one.
| Concept | What It Captures | Vault IP Source |
|---|---|---|
| Invisible Work into More Income | 7 hidden value areas where providers do work they never name, price, or scope. Pre-project research, custom materials, between-session support, PM coordination, training, post-delivery follow-up, strategic thinking. | GPT: ip-library/Invisible Work into More Income Assistant.txt — full 7-area discovery methodology with ROI surfacing per item and client-ready framing output. |
| Client Service Trap | 4 trap types that cause providers to overserve without compensation. Expertise Trap (work feels easy, undervalued), Gratitude Discount (nice clients get more), Creeping Normalization (quick asks expand), Energy Drain Trap (fee misalignment depletes). | GPT: ip-library/Client Service Trap Diagnostic Final Master In.txt — 4 traps, 12-question diagnostic, 3 action types (Price Reset / Scope Evolution / Boundary Reset), conversation scripts with if/then pivots. |
| Profit Lead Detector | Real vs. billed rate gap — the math that shows what they're actually earning per client. 6 hidden time categories (proposal writing, discovery calls, revisions, quick questions, admin, coordination). Gap calculation + annualization. | GPT: ip-library/You are the Profit Lead Detector a diagnostic.txt — rate gap formula, 6 hidden time categories, 5 time leak classifications (Proposal Complexity, Scope Creep, Revision Loops, Communication Overhead, Admin Drag), Rate Rehab Plan. |
| Hidden Revenue Scan | 6 revenue signal types with 30+ detection patterns. The unified detection framework this skill inherits — adapted from email detection to structured data detection. | Skill: campaigns/practice-command-center/02-hidden-revenue-scan-skill.md — 6 signal types fully documented, 2-option upgrade script framework, invisible work audit, Client Intelligence Brief input mapping. |
| HQP Scoring | 6-dimension qualification framework — Problem Fit, Values, Financial, Urgency, Style, Time. Designed for prospects but repurposable as client health/expansion-readiness scoring. | GPT: ip-library/HQP Highly Qualified Prospect Score Assistant.txt — 6 dimensions with 1-5 scoring rubrics, non-negotiable thresholds, Delta Check (transcript vs. self-report), Clarity Tags (green/yellow/red). |
| 5 Phrases That Signal Your Client Needs More | Signal detection in language — specific phrases clients use that mean "I'm ready for more" disguised as normal conversation. | Micro-magnet: ip-library/micromagnet-archive-2026-3-15/5 Phrases That Signal Your Client Needs More From You.docx |
| Ascension Roadmap | "Best clients only buy 30% of what you could do for them." Service gap analysis logic — cross-referencing what you offer against what each client actually buys. | Micro-magnet: ip-library/micromagnet-archive-2026-3-15/Why Your Best Clients Only Buy 30 of What You Could Do for Them The Ascension Roadmap.docx |
These concepts ARE the IP. The Client Expansion Finder combines them: detect signals from roster data (invisible work + traps + rate gaps), cross-reference against the services catalog (ascension + unmet needs), score expansion readiness (HQP dimensions adapted for existing clients), and produce outreach messages (upgrade scripts).
Four GPT assistants contain deep methodology that must be adapted for this skill. The GPTs are designed as interactive Q&A conversations; this skill reads from structured Practice Brain data — the client roster, services catalog, and engagement history produced during The Groundwork. The methodology (what to look for, how to classify, what action to recommend) transfers — the input modality changes from Q&A to structured data parsing.
Adjacent Existing IP (Reference, Not Source)
- Client Work Absorption concept brief (
content-pipeline/concept-briefs/concept-brief-02-client-work-absorption.md) — Operational Handback Protocol. Provider absorbs client operational work. Adjacent: informs the Invisible Work Audit section (a specific pattern within the 7 hidden value areas). - Client Profitability Blind Spot concept brief (
content-pipeline/concept-briefs/concept-brief-05-client-profitability-blind-spot.md) — Client Cost Connection framework. Revenue tracked at client level, cost not. Adjacent: the measurement architecture problem. This skill detects the symptoms, not the accounting gap. - Default Continuation Trap concept brief (
content-pipeline/concept-briefs/concept-brief-06-default-continuation-trap.md) — Continue Decision Audit. Legacy commitments that should be reevaluated. Adjacent: feeds into "should we expand or restructure?" analysis in the opportunity summary. - Pain Dissipation Gap concept brief (
content-pipeline/concept-briefs/concept-brief-01-pain-dissipation-gap.md) — Delivery-to-Discovery Bridge. Striking while pain is hot after delivery. Adjacent: informs engagement freshness timing in the signal detection. business-aos/reference/proof/angles/invisible-work.md— thin reference only. The vault GPT has the real methodology.
IP Gaps & Upgrades
IP Upgrade: Invisible Work Assistant GPT at
ip-library/Invisible Work into More Income Assistant.txt. Current state: full 7-area discovery methodology with ROI surfacing — but designed as interactive Q&A (one client, questions and answers). Needs adaptation: the 7 hidden value areas must become a structured checklist run against each client row in the roster, cross-referenced against the services catalog. Where the GPT asks "Do you do pre-project research for this client?", the skill checks whether research/prep hours exist in engagement data but don't appear in the scope. Content interview required to enrich: what do these 7 areas look like in structured roster data? What fields indicate between-session support vs. scoped work?
IP Upgrade: Client Service Trap Diagnostic GPT at
ip-library/Client Service Trap Diagnostic Final Master In.txt. Current state: 4 trap types with 12-question diagnostic and realignment scripts. Needs adaptation: the 12 intake questions map to roster columns — fee, hours, delivery style, frequency, access level, revision policy, extras, energy. The skill infers the answers from structured data instead of asking. Content interview required to enrich: what roster-level data patterns indicate each trap? How does Creeping Normalization show up in engagement frequency data vs. in intake questions?
IP Upgrade: HQP Score Assistant GPT at
ip-library/HQP Highly Qualified Prospect Score Assistant.txt. Current state: 6-dimension scoring for PROSPECTS. Needs adaptation for EXISTING CLIENTS: Problem Fit → does client's need still match core services? Financial → fee vs. value alignment? Urgency → is the client pushing work forward or stalling? Content interview required to validate: which dimensions translate to client expansion readiness? Which need replacement? What thresholds change for existing vs. prospective relationships?
IP Gap: "5 Phrases That Signal Your Client Needs More From You" — micro-magnet .docx exists but the underlying signal detection methodology is not documented in any GPT or concept brief. The specific phrases, the detection logic (how to distinguish a real signal from noise), and the classification system need to be extracted. Content interview required to extract: what are the actual phrases? How did Kathryn learn to spot them? What patterns show up across practice types? How do signals differ by relationship stage?
IP Gap: Ascension Roadmap methodology — micro-magnet .docx exists ("Best clients only buy 30%") but no GPT-level methodology for the cross-referencing logic. Content interview required to extract: how does Kathryn identify which services a client SHOULD be buying? What makes a service gap actionable vs. irrelevant? How does she prioritize which gap to propose first?
IP Gap: Referral Readiness signal detection — the Hidden Revenue Scan documents 5 detection patterns (unprompted praise, mentioning to colleagues, asking about other firms, "you should talk to my friend" language, asking about capacity). These are EMAIL patterns. For structured roster data, the detection logic needs to be different. Content interview required: what roster-level data indicates referral readiness? Tenure? Satisfaction scores? Engagement frequency? Growth trajectory?
Design Constraint Check
| Constraint | How This Skill Meets It |
|---|---|
| Can't fail | Reads from Practice Brain — the client roster and services catalog produced during The Groundwork. If the roster has 3+ clients with basic engagement data (service purchased, fee, duration), the skill runs. No judgment calls: paste or upload the structured data, get back a signal map. Kathryn is in the room for the first run (Session 1) providing live support. |
| Sustainable | Run quarterly against the full roster. New engagement data = new signals. Portfolio Health Score tracks changes over time. The "Day in the Life" close (Session 3): "Once a quarter, run Client Expansion against your updated roster." |
| Win fast | First run surfaces at least one "how did I not see that" finding — the $40K moment. The win isn't a report — it's 3 outreach messages ready to send TODAY, each targeting a specific expansion opportunity the provider didn't know existed. |
| Non-technical | Participants paste or upload Practice Brain files they already built during The Groundwork. No coding, no configuration. The skill reads structured data and produces a visual signal map. Kathryn is live in the session for anyone who gets stuck. Fallback: manual description of clients and services via conversation. |
| 10-100x value | $97 buys 3 sessions. Session 1 alone surfaces hidden revenue across the full client roster — the "$40K sitting in your practice" moment. Plus 3 ready-to-send outreach messages, a Services Gap Analysis, an Invisible Work Audit, and a Portfolio Health Score for quarterly re-runs. A client portfolio review at this depth runs $500-$1,500 from a business development consultant. |
Quality Bar
$97 for 3 sessions should feel like $1,000+. They should feel this session alone was worth the price of the entire Intensive — and they built it themselves in under an hour.
"They should leave Session 1 thinking: I've been sitting on this the whole time."
- The Client-by-Client Signal Map reads like a $500 client portfolio review
- Outreach messages are ready to copy-paste and send — not templates with [brackets]
- The Services Gap Analysis makes it visually obvious which clients are under-buying
- The dollar figure ("I'm sitting on $___K") is the Session 1 demo moment — it has to land
- Paired with Proof Engine: the Finder tells you WHERE the money is. The Proof Engine gives you the credibility to go get it.
Input Design
Primary input: Practice Brain structured data — client roster + services catalog (from Groundwork Step 2: Practice Profile Conversation).
The client roster contains per client: name, services purchased, engagement duration, fee, engagement frequency, last interaction, delivery style, scope notes. The services catalog contains: all services offered, pricing tiers, typical scope, delivery format.
Second input path: Manual entry — a participant who didn't complete the Groundwork can describe their clients and services in conversation during the session. Kathryn walks them through it live. Less powerful (no cross-referencing), but still produces signals.
Zero-friction test:
| Question | Answer |
|---|---|
| Does the user already have this data? | Yes — it was produced during The Groundwork. They already built it. |
| Can they paste it in under 2 minutes? | Yes — the Practice Brain files are on their machine. Upload or paste. |
| Does it work with messy, incomplete data? | Yes — partial rosters produce partial signal maps. "Incomplete data" is itself a signal (which clients are you not tracking?). |
| Is there a second input path? | Yes — manual description of clients and services, with Kathryn guiding live. |
Key difference from handraiser version (Hidden Revenue Scan): The handraiser reads 3-5 pasted emails from ONE client and detects signals in language. Client Expansion Finder reads the FULL roster across ALL clients and detects signals in structured data patterns. Portfolio-level vs. single-client. The handraiser demonstrates the approach. The Intensive skill deploys the system.
Foundational Dependency
The Client Expansion Finder requires the Practice Brain (produced during The Groundwork). Without the client roster and services catalog, there's no structured data to analyze.
It works at full power with a complete Practice Brain: detailed client roster with engagement data, full services catalog with pricing, and voice/communication preferences. The more data in the roster, the more signals detected.
It works at reduced power with partial data: a basic client list and service descriptions entered manually during the session. Still produces signals, but can't do portfolio-level cross-referencing or services gap analysis.
This is not a standalone skill. Unlike the handraiser skills (which must work with zero setup), the Intensive skills assume The Groundwork is complete. The Groundwork IS the setup. For participants who didn't complete it, Kathryn provides a fallback path during the live session — but the experience is diminished.
Upgrade path: Inside Practice Builders, participants build deeper Practice Brain files over time (adding engagement history, refining the services catalog, documenting pricing tiers). Each quarterly run of Client Expansion Finder gets more powerful as the data gets richer.
The Skill Output (Sections)
| # | Section | Job |
|---|---|---|
| 1 | Practice Snapshot | Portfolio overview — how many clients, total revenue, services offered vs. purchased, engagement health summary |
| 2 | Client-by-Client Signal Map | Every client scored against 6 signal types. Table: Client, Signals Detected, Type, Evidence, Confidence |
| 3 | Invisible Work Audit | 7 hidden value areas checked across the roster. Table: Area, Clients Affected, Estimated Unbilled Value, Billing Action |
| 4 | Services Gap Analysis | Cross-reference: services offered vs. what each client buys. Table: Client, Services Purchased, Services Not Purchased (But Fit), Gap Opportunity |
| 5 | Revenue Opportunity Summary | Top opportunities ranked by confidence and estimated size. Table: Opportunity, Client, Signal Type, Confidence, Size Logic, Recommended Action |
| 6 | Outreach Messages | 3 personalized messages for the top 3 opportunities. Complete, ready to send — in the provider's voice from the Practice Brain. Two options per message: Open the Conversation (warm) and Direct Proposal (specific). |
| 7 | Portfolio Health Score | Overall practice health: expansion-ready clients, at-risk clients, invisible work total, services utilization rate. Comparison baseline for quarterly re-runs. |
Signal Types
| Type | What It Catches | Rooted In | Methodology Available |
|---|---|---|---|
| Scope Creep | Work being done outside the agreement — invisible services, extras, absorbed operations | Invisible Work Assistant (7 hidden value areas) + Client Service Trap Diagnostic (Creeping Normalization, Gratitude Discount) | Deep — 7 discovery areas + 4 trap types documented. Needs adaptation from Q&A to roster-level data pattern detection. |
| Unmet Needs | Client problems that map to services in the catalog, but nobody's proposed them | Ascension Roadmap ("30% of what you could do") + services catalog cross-reference | Gap — micro-magnet title exists, no GPT methodology. Content interview required for cross-referencing logic. |
| Upgrade Signals | Patterns that mean "I'm ready for more" — growth language, expanded engagement, stakeholder introduction | Hidden Revenue Scan (5 upgrade detection patterns) + "5 Phrases" micro-magnet | Partial — email-based patterns documented in HRS. Roster-level equivalents need mapping. Content interview required for phrase methodology. |
| Price Misalignment | Engagement outgrew its pricing — scope expanded, fee didn't | Profit Lead Detector (rate gap, 6 hidden time categories) + Client Service Trap (Expertise Trap, Energy Drain) | Deep — calculation methodology and trap diagnostic documented. Needs adaptation: detect pricing signals in roster data (fee vs. hours vs. scope tier), not financial deep dive. |
| Retention Risk | Revenue about to leave — disengagement, silence, declining patterns | Client Service Trap Diagnostic (Energy Drain Trap + Creeping Normalization) + Hidden Revenue Scan (6 retention risk patterns) | Partial — trap types describe conditions; email patterns documented. Roster-level detection (declining frequency, shorter interactions, cancellations) needs enrichment. |
| Referral Readiness | Client ready to send business — high satisfaction, long tenure, growth trajectory | Hidden Revenue Scan (5 referral readiness patterns) | Gap — email patterns documented but roster-level indicators not. Content interview required. |
Cohesion Check — Intensive Series Arc
| # | Skill | Session | Job | Throughline |
|---|---|---|---|---|
| 1 | Client Expansion Finder | Tue — Find | Find growth hiding in your existing client base | Your practice already has the clients |
| 2 | Proof Engine | Wed — Prove | Turn past engagements into proof that sells for you | Your practice already has the proof |
| 3 | SOW Machine | Thu — Close | Write scoped proposals in minutes, not hours | Your practice already has the deal |
Throughline: "Your practice already has everything it needs to grow." Each session reveals what's already there — clients, proof, deals — and builds a system to capture it.
Skill #1 → Skill #2 connection: Client Expansion Finder identifies which clients have the strongest engagement outcomes. Those clients become the input for Proof Engine — "You found $40K hiding in your roster. Now let's turn your best engagement into proof that sells for you." The Finder's Revenue Opportunity Summary points to specific engagements worth documenting.
Handraiser → Intensive upgrade: Hidden Revenue Scan (handraiser) reads pasted emails from one client. Client Expansion Finder (Intensive) reads the full roster against the full services catalog. Same 6 signal types, but portfolio-wide instead of per-client. The handraiser demonstrates the approach. The Intensive deploys the system.
Teaching Story
TBD — needs real testing.
Kathryn runs Client Expansion Finder against her own Practice Brain (client roster + services catalog) and reports:
- How many clients in the roster?
- How many signals detected across all clients?
- Which signal type was most common?
- Most surprising finding — the "I've been sitting on this" moment?
- What was the total estimated hidden revenue? (The "$40K" number for the demo)
- Were the outreach messages sendable? Did the voice sound like her?
- What did the Services Gap Analysis reveal — which services are under-purchased?
- Did the Portfolio Health Score surface anything non-obvious?
Distribution
| Field | Value |
|---|---|
| Trigger word | TBD |
| Delivery method | Installed during Session 1 with Kathryn live |
| Practice Brain required | Yes — client roster + services catalog from The Groundwork |
| Series position | Session 1 of 3 |
| Output feeds | Proof Engine (Session 2) — Finder identifies engagements worth documenting |
| Draft skill file | None yet — build after brief validation via Skill Build Kit |
Open Questions
- Name: "Client Expansion Finder" — working name. Alternatives: Growth Map, Revenue Map, Client Growth Scan, something in the construction-metaphor family?
- Roster minimum: What's the minimum viable roster? 3 clients? 5? What happens with fewer?
- Services catalog depth: How detailed does the catalog need to be for the Services Gap Analysis to work? Service names + descriptions? Or does it need pricing tiers and delivery formats?
- Outreach message voice: The Practice Brain includes voice/communication preferences from The Groundwork. Are they detailed enough for the skill to produce messages that sound like the provider? Or does this need a separate voice calibration step?
- Portfolio Health Score design: What dimensions? Client count, revenue concentration, services utilization, signal density, at-risk percentage? How does it translate to a quarterly comparison?
- Relationship to Hidden Revenue Scan: Are they entirely separate builds, or does Client Expansion Finder start from the Hidden Revenue Scan and add Practice Brain integration? If the latter, less total build work.
- Demo data: What practice data does Kathryn use for the Session 1 live demo? Her own roster? A fictional practice?
Next Steps
- [ ] Kathryn validates this brief
- [ ] Content interview: 5 Phrases signal detection methodology (what are the actual phrases? how to spot them?)
- [ ] Content interview: Ascension Roadmap cross-referencing logic (which service gaps are actionable?)
- [ ] Content interview: Referral readiness indicators in roster data (not email language)
- [ ] Content interview: HQP dimensions adapted for existing clients (which transfer, which need replacement?)
- [ ] Resolve open questions (especially #6 — relationship to Hidden Revenue Scan affects build scope)
- [ ] Kathryn tests draft skill on her own Practice Brain data
- [ ] Capture teaching story from test results (the "$40K" number)
- [ ] Build through Skill Build Kit process after brief is validated