Organic Growth Advisor

Purpose

Help product managers identify which organic growth path to pursue by diagnosing where the constraint actually lives. This is not a comprehensive strategy tool. It is a fast triage that puts you in the right lane before you start building hypotheses or running experiments.

The four growth paths covered here are drawn from the McKinsey Growth Pyramid (Levels 2 through 5). Levels 1, 6, and 7 are out of scope: Level 1 (existing products to existing customers) is a retention and optimization problem, not a growth motion. Levels 6 and 7 (new industry structure, new arenas) require capital and executive mandate beyond typical product team scope.

This skill does three things and nothing more: 1. Diagnoses where your growth constraint lives using two questions 2. Places your situation on the Growth Path Matrix (customer/market context vs. degree of product change) 3. Recommends one growth path with rationale, a diagnostic question, and a first experiment

Anti-Patterns (What This Is NOT)

• Not a rigorous diagnostic instrument: A fast triage tool, not a scoring model
• Not a maturity model or rubric: No stages, no grades, no weighted criteria
• Not a substitute for customer discovery: It points you in a direction; discovery validates it
• Not a guarantee: If the recommendation does not feel right, that tension is worth exploring

When to Use This Skill

• Growth is stalling and you are unsure which lever to pull next
• Multiple growth paths seem viable and you need to choose one to test first
• You want to set up an AI-assisted experiment with a clear hypothesis
• A team or stakeholder debate about growth direction needs a fast resolution

When NOT to Use This Skill

• You have not yet achieved core product-market fit (fix L1 first)
• You already have a validated growth path in motion (do not switch lanes mid-experiment)
• You need a rigorous strategic planning tool (this is triage, not strategy)
• You lack basic context about your current customers and their problems (gather that first)

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Key Concepts

The Growth Path Matrix

Two questions place your situation on the matrix:

X axis: Customer/Market Context How familiar is the next customer or market you want to reach?

• Known: Same market, same type of buyer, familiar problem context
• Less Known: Different geography, unfamiliar cultural or regulatory context, buyer type you have not served before

Y axis: Degree of Product Change How much does the product itself need to change to unlock the next wave of growth?

• Low: The product mostly works. What needs to change is how customers find or access it, or which customer you go after next.
• High: The product needs to evolve. New capabilities or an entirely new product line is required to solve the next job.

The Four Growth Paths

L2: New Customer Segments (Known context + Low product change) You already solve a real problem. A nearby buyer may need it too.

L4: New Distribution Channels (Known context + High product change) Product offers same value. People need a better way to find or access it.

L3: New Geographies (Less Known context + Low product change) The product may travel. The market context does not come with it automatically.

L5: New Products or Services (Less Known context + High product change) Customers are pulling you toward adjacent jobs your offer does not fully solve.

Why This Order Matters

Risk scales with distance from your core. L2 is closest: same market, same product. L5 is furthest: new product, less familiar context. Most teams overinvest in L5 before they have exhausted L2 and L4. If your core product-market fit is strong and your current market is not saturated, L2 or L4 is almost always the right move first.

The Knowledge Principle

Innovation at any level is downstream of accumulated contextual knowledge. The teams that succeed at L3 are not the ones who moved fastest. They are the ones who studied how value actually travels in the new market before they tried to scale it. The teams that succeed at L5 are not the most creative. They built the adjacent product their existing customers were already asking for, in language they already understood.

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Facilitation Source of Truth

Use `workshop-facilitation` as the default interaction protocol for this skill.

It defines:

• session heads-up + entry mode (Guided, Context dump, Best guess)
• one-question turns with plain-language prompts
• progress labels (for example, Context Q1/3 and Recommendation)
• interruption handling and pause/resume behavior
• numbered recommendations at decision points
• quick-select numbered response options for regular questions (include Other (specify) when useful)

This file defines the domain-specific assessment content. If there is a conflict, follow this file's domain logic.

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Application

This interactive skill asks 3 adaptive questions, offering 3 enumerated options at each diagnostic step.

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Question 1: Current Situation

Agent asks:

"Let's identify your best organic growth path. To start:

• What does your product do, and who is your current core customer?
• Where is growth stalling right now?
• What have you already tried?"

Accept a brief answer. Two to four sentences is enough. The goal is to establish baseline context before asking the diagnostic questions.

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Question 2: Customer/Market Context

Agent asks:

"Think about the next customer or market you want to reach: the one who would unlock your next wave of growth.

How familiar is that context to you?"

Offer 3 enumerated options:

1. Well known — Same market, same type of buyer, familiar problem and context. You have served customers like this before. 2. Somewhat known — Adjacent buyer or market. You have a hypothesis about who they are, but limited direct experience with them. 3. Less known — New geography, new industry, new buyer profile. Their context, norms, and decision-making process are meaningfully different from what you know.

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Question 3: Degree of Product Change

Agent asks:

"To reach that customer and grow, how much does your product need to change?

What does the constraint actually require?"

Offer 3 enumerated options:

1. Low change — The product mostly works for this next customer. What needs to change is how they find it, access it, or how you reach them. 2. High change — The product does not fully solve what this customer needs. New capabilities or a new product line is required. 3. Somewhere in between — Describe what feels more pressing. That will determine the path.

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Output: Growth Path Recommendation

After three questions, the agent delivers a recommendation using the pattern below.

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Recommendation Pattern

## Your Growth Path: [L2 / L3 / L4 / L5] — [Name]

**Where you sit on the matrix:**
- Customer/market context: [Known / Less Known]
- Degree of product change: [Low / High]

**Why this path fits your situation:**
[2 to 3 sentences connecting their specific context to the growth path. Be direct. Reference what they told you.]

**The diagnostic question to keep asking:**
[One sharp question: the one that will tell them if they are right about this path]

**What innovation looks like here:**
[Concrete description of what real innovation looks like at this level. Not a feature list, but a pattern.]

**A first experiment to run this week:**
[One specific, low-cost action they can take in the next 5 to 7 days to test whether this path is real]

**Watch out for:**
[One trap that kills teams pursuing this path: the most common mistake at this level]

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Path-Specific Guidance

L2: New Customer Segments

Diagnostic question: Who else has the problem we already solve?

What innovation looks like: Finding adjacent buyers inside your existing market whose context is similar enough that your current product mostly works for them. Not rebuilding value. Improving how you reach, message, and onboard a slightly different buyer.

First experiment: Identify three companies or individuals who match a buyer profile adjacent to your ICP. Reach out directly. Ask them to describe their version of the problem you solve. Do not pitch. Listen for what is the same and what is different.

Watch out for: Assuming adjacent buyers need the same onboarding and messaging as your core ICP. They are close enough to reach, but different enough to misunderstand. Word of mouth travels within segments, not across them.

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L4: New Distribution Channels

Diagnostic question: Where else could customers discover or access our value?

What innovation looks like: Turning product output into a distribution surface. Placing the product where buyers already spend time. Creating a free tier or embedded entry point that removes the signup barrier. The product does not change. The front door does.

First experiment: Identify one place where your product output is already being shared or seen by non-users. Map what a non-user sees when they encounter it. Ask whether that moment creates curiosity or stops there. Design one change to that moment that makes curiosity easier to act on.

Watch out for: Confusing marketing campaigns with distribution innovation. A campaign gets attention once. A distribution channel compounds. The test is whether the mechanism works without ongoing spend behind it.

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L3: New Geographies

Diagnostic question: Where is demand already showing up that we do not yet serve well?

What innovation looks like: Studying how word of mouth actually travels in the target market before scaling anything. Building local trust signals: content, partners, language. Doing that before investing in paid growth. Pacing expansion to match local product-market fit signals, not a global launch calendar.

First experiment: Look at your current inbound data. Is there organic traffic, signups, or inquiries from a market you have not targeted? If yes, reach out to three of those users and ask why they found you and what they were hoping to get. That is your signal.

Watch out for: Assuming what worked at home works everywhere. Trust is built differently across markets. The product may translate. The growth loop almost never does without adaptation.

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L5: New Products or Services

Diagnostic question: What adjacent jobs are customers already trying to solve around us?

What innovation looks like: Building something new that extends the core workflow customers already live in. Not a pivot, but an expansion. The new product retains existing customers by absorbing more of their workflow and attracts new buyers who need that job done.

First experiment: Ask five current customers what they do immediately before or after using your product to complete the job it helps with. Look for a consistent adjacent step they take with a different tool or manual process. That gap is your L5 hypothesis.

Watch out for: Building new before the core is strong. L5 requires more knowledge, more resources, and more risk than any other path. If you have not saturated L2 and L4 first, you are probably moving too early.

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Examples

Example 1: L2 Recommendation

Context: B2B SaaS project management tool. Core ICP is engineering teams. Growth has slowed. They have tried paid ads and a PLG free tier. Both underperforming.

Q2 response: Well known — same buyer type, familiar context.

Q3 response: Low change — the product mostly works, the constraint is reach.

Recommendation: L2 — New Customer Segments

The product solves a coordination problem engineering teams have. Design and product teams inside the same companies have a nearly identical coordination problem. Word of mouth from engineering is already warm. It just stops at the team boundary. The growth path is not a new channel. It is a new segment inside the same market.

First experiment: Pull a list of your best engineering team customers. Identify which ones also have active design or product teams. Reach out to those adjacent teams directly with a message that references the engineering team's usage. Ask what their coordination problem looks like.

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Example 2: L4 Recommendation

Context: SaaS tool for creating short-form video explainers. Strong product-market fit with marketing teams. Growth plateau after initial viral push faded.

Q2 response: Well known — same buyer type, familiar context.

Q3 response: Low change — the product works, the front door is the problem.

Recommendation: L4 — New Distribution Channels

Every video created is a distribution surface. Non-users see finished videos but have no low-friction path to act on their curiosity. The growth constraint is not that the product lacks value. It is that the moment of maximum curiosity (watching a video) has no conversion mechanism attached to it.

First experiment: Add a subtle "Made with [Product]" watermark or link to the bottom of every exported video. Track whether inbound signups increase from referral source. If yes, the output is already a channel. Design the next step from there.

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Example 3: L3 Recommendation

Context: HR software built for US mid-market companies. Starting to see inbound from UK and Australia. No localization done yet.

Q2 response: Less known — different regulatory and hiring norms.

Q3 response: Low change — the core product mostly works, local context adaptation is needed.

Recommendation: L3 — New Geographies

Organic inbound from the UK and Australia is a signal, not a coincidence. Moving directly to paid expansion without understanding local context is a common mistake. UK hiring law, data residency requirements, and HR norms differ enough to create friction at the point of sale and in onboarding, not in the product itself.

First experiment: Talk to the five most active UK or Australian users you already have. Ask what friction they hit when signing up and getting started. Ask what the product does not understand about their context. That conversation maps the localization investment before you make it.

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Example 4: L5 Recommendation

Context: B2B analytics tool for e-commerce teams. Strong retention, high NPS. Customers keep asking for forecasting and inventory planning features the product does not currently offer.

Q2 response: Somewhat known — same buyer type, but the adjacent job pulls toward a different workflow.

Q3 response: High change — the product does not yet solve what customers are pulling toward.

Recommendation: L5 — New Products or Services

Customers are not just asking for more reports. They are asking you to absorb a workflow step that currently lives in a separate tool. That is an L5 signal. The adjacent job (forecasting and planning) is close enough to your core that building it extends retention and opens a new buyer without requiring a new go-to-market motion.

First experiment: Interview eight current customers who have requested forecasting features. Ask them to walk you through exactly what they do today to handle that job. What tools do they use? Where does it break down? What would good enough look like? You are not scoping the feature. You are validating that the job is real and consistent enough to build toward.

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Common Pitfalls

Pitfall 1: Pursuing L5 before L2 and L4 are exhausted

Symptom: The team is excited about building something new while existing market penetration is still below 30%.

Consequence: L5 requires the most knowledge, the most capital, and the most time. Starting there before the core is strong usually produces a distraction, not a second product.

Fix: Ask honestly whether you have fully exploited L2 and L4 before committing to L5. If not, start there.

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Pitfall 2: Confusing a marketing campaign with a distribution channel

Symptom: "We launched on Product Hunt and got 2,000 signups" counted as a distribution channel win.

Consequence: Campaigns generate attention once. Channels compound without ongoing spend. If the mechanism stops working when you stop paying or promoting, it is not a channel.

Fix: Test whether the distribution mechanism works without active investment. If yes, it is a channel. If not, it is a campaign.

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Pitfall 3: Expanding geographically before local word of mouth is understood

Symptom: Team translates the website, runs paid ads in the new market, and wonders why conversion is poor.

Consequence: Paid spend in a market where you have no local trust signals burns budget and produces low-quality leads.

Fix: Find organic inbound from the target market first. Talk to those users before spending anything. Understand how trust travels locally before trying to manufacture it.

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Pitfall 4: Treating adjacent segments as identical to the core ICP

Symptom: "They have the same problem, so the same messaging should work."

Consequence: Adjacent buyers are close enough to reach but different enough to misunderstand. They share the problem but not always the language, urgency, or buying process.

Fix: Run discovery with the new segment before assuming your existing onboarding and messaging transfers. Small differences in framing compound into large differences in conversion.

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Pitfall 5: Using this matrix as a precision instrument

Symptom: Team debates which quadrant they belong in for two hours.

Consequence: The matrix is a triage tool. Spending more time on placement than on experiments defeats the purpose.

Fix: Make a best-guess placement in five minutes. Use the first experiment to validate or invalidate. The matrix points you in a direction. It does not make the decision for you.

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References

Related Skills

• acquisition-channel-advisor — Evaluate unit economics for a specific distribution channel once L4 path is chosen
• discovery-interview-prep — Prepare discovery interviews for new segment or geography validation
• pol-probe — Define a Proof of Life experiment for the recommended growth path
• epic-hypothesis — Frame the growth initiative as a testable hypothesis before roadmap commitment
• jobs-to-be-done — Identify adjacent jobs for L5 hypothesis development

Framework Source

• McKinsey Growth Pyramid (Baghai, Coley, White — "The Alchemy of Growth," 1999)
• Levels 2 through 5 only. L1 is retention. L6 and L7 are out of scope for product team execution.

Provenance

• Developed for Productside webinar: "Driving Organic Growth through Innovation" (May 20, 2026)
• Growth Path Matrix axes: Customer/Market Context (Known to Less Known) and Degree of Product Change (Low to High)

Organic Growth Advisor Examples

These examples show how the Organic Growth Advisor helps a Product Manager diagnose which organic growth path to pursue next.

The four paths are:

• L2: New Customer Segments — same value, nearby customer
• L3: New Geographies — same product, new market context
• L4: New Distribution Channels — same value, new access path
• L5: New Products or Services — adjacent job, meaningful product change

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Example 1: Good Organic Growth Diagnosis

Context

User shares:

"We have strong product-market fit with engineering teams, but growth has stalled. We tried paid ads and a PLG free tier. Neither worked very well. Most paid upgrades now come through existing customer referrals. We think product and design teams inside the same companies may have the same coordination problem."

Agent extracts context

• Product: B2B SaaS project management tool
• Current Core Customer: Engineering teams at software companies
• Growth Challenge: Signups are flat; paid upgrades mostly come from referrals
• What Has Been Tried: Paid ads and PLG free tier
• Important Signal: Existing customers are already creating warm paths into adjacent teams

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Diagnostic Question 1: Customer / Market Context

Agent asks:

Think about the next customer or market you want to reach. How familiar is that context?

User response:

Well known. Product and design teams are inside the same companies. They work with engineering already and have a similar coordination problem.

Agent interprets:

• Customer / Market Context: Well Known
• Reason: Same companies, adjacent teams, familiar problem space

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Diagnostic Question 2: Degree of Product Change

Agent asks:

To reach that customer and grow, how much does the product need to change?

User response:

Low change. We may need different templates or onboarding language, but the core product already works.

Agent interprets:

• Degree of Product Change: Low
• Reason: Product value mostly transfers; messaging and onboarding likely need adjustment

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Agent recommends

## Your Growth Path: L2 — New Customer Segments

**Where you sit on the matrix:**
- Customer/market context: Known
- Degree of product change: Low

**Why this path fits your situation:**
Your product already solves a coordination problem for engineering teams. Product and design teams inside the same companies likely have a nearby version of that problem. The referral pattern suggests growth is already trying to cross team boundaries, but you have not turned that signal into a deliberate expansion motion.

**The diagnostic question to keep asking:**
Who else has the problem we already solve?

**What innovation looks like here:**
Innovation is not rebuilding the product. It is finding adjacent buyers whose work is close enough that the current product mostly transfers, then adapting messaging, onboarding, and proof points so the value lands in their language.

**A first experiment to run this week:**
Pick ten strong engineering-team customers. Identify whether product or design teams exist inside those same accounts. Run five discovery conversations with those adjacent teams and ask how they coordinate work today, where handoffs break, and whether the engineering team's usage influenced their interest.

**Watch out for:**
Treating adjacent buyers as identical to the core customer. They may share the problem but describe it differently, buy differently, and need different proof that the product is worth adopting.

Why this works

• Starts from a real growth constraint, not a pet idea
• Uses evidence from current customer behavior
• Separates “new segment” from “new product”
• Recommends a testable L2 experiment
• Avoids jumping to L5 because building new feels more exciting

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Example 2: Good L3 Diagnosis

Context

User shares:

"We sell HR onboarding software to US mid-market companies. Domestic growth is slowing, but we keep seeing inbound from the UK and Australia. We have not localized anything yet. The product seems relevant, but we are not sure if international expansion is real."

Agent extracts context

• Product: HR onboarding software
• Current Core Customer: US mid-market HR teams
• Growth Challenge: Domestic growth slowing
• What Has Been Tried: No active international motion yet
• Important Signal: Organic inbound from UK and Australia

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Diagnostic answers

• Customer / Market Context: Less Known
• Degree of Product Change: Low

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Agent recommends

## Your Growth Path: L3 — New Geographies

**Where you sit on the matrix:**
- Customer/market context: Less Known
- Degree of product change: Low

**Why this path fits your situation:**
Organic inbound from the UK and Australia is a useful signal because demand is showing up before you have invested in those markets. The product may travel, but the market context will not travel with it. Your next risk is probably local trust, compliance, buying norms, language, and onboarding friction.

**The diagnostic question to keep asking:**
Where is demand showing up that we do not yet serve well?

**What innovation looks like here:**
Innovation is learning how value travels in a new market before scaling the motion. That may mean local proof points, regional partners, compliance adjustments, onboarding changes, or trust signals that make the product feel credible in context.

**A first experiment to run this week:**
Pull recent inbound leads, signups, and usage from the UK and Australia. Interview five of those users. Ask why they found you, what they expected, what felt US-centric, and what would make the product easier to trust or adopt locally.

**Watch out for:**
Assuming localization means "translate the website and run ads." That is how teams turn a promising signal into a small international bonfire of paid acquisition spend.

Why this works

• Treats geographic demand as a signal to investigate
• Does not confuse product fit with market-context fit
• Keeps the first experiment discovery-led and low-cost
• Avoids global-launch theater

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Example 3: Good L4 Diagnosis

Context

User shares:

"We make short-form video explainer software for marketing teams. Customers love the product and share finished videos everywhere. Growth has plateaued. Non-users see the outputs, but they do not understand where the videos came from or how to try the product."

Agent extracts context

• Product: Short-form video explainer tool
• Current Core Customer: Marketing teams
• Growth Challenge: Growth faded after launch momentum
• What Has Been Tried: Initial launch push and customer sharing
• Important Signal: Product output is already being seen by non-users

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Diagnostic answers

• Customer / Market Context: Well Known
• Degree of Product Change: High access/distribution change

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Agent recommends

## Your Growth Path: L4 — New Distribution Channels

**Where you sit on the matrix:**
- Customer/market context: Known
- Degree of product change: High

**Why this path fits your situation:**
Your product output is already traveling farther than your signup motion. That makes distribution the constraint. The product creates visible artifacts, but the moment of curiosity does not yet become a path into the product.

**The diagnostic question to keep asking:**
Where else could customers discover or access our value?

**What innovation looks like here:**
Innovation is turning product usage into a distribution surface. The product does not need to become something else. The front door needs to move closer to the moment when non-users see value.

**A first experiment to run this week:**
Add a lightweight "Made with [Product]" link or interactive call-to-action to exported videos for a subset of customers. Track referral source, landing-page conversion, signup quality, and whether viewers understand what they can do next.

**Watch out for:**
Confusing campaigns with channels. A campaign gets attention once. A channel compounds because product usage keeps creating new discovery moments.

Why this works

• Notices the product is already creating distribution surfaces
• Does not recommend another campaign wearing a fake mustache
• Focuses on the access path, not the core product value
• Creates a measurable experiment

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Example 4: Good L5 Diagnosis

Context

User shares:

"We sell analytics software to e-commerce teams. Retention is strong and customers trust us, but they keep asking for forecasting and inventory planning. Today they export data from us, manipulate it in spreadsheets, then use a separate planning tool. We are wondering if this is a feature request or a bigger product opportunity."

Agent extracts context

• Product: E-commerce analytics platform
• Current Core Customer: E-commerce operators and analysts
• Growth Challenge: Strong retention, limited expansion
• What Has Been Tried: Analytics product works; adjacent planning workflow not supported
• Important Signal: Customers repeatedly pull the company toward an adjacent job

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Diagnostic answers

• Customer / Market Context: Somewhat Known / Less Known
• Degree of Product Change: High

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Agent recommends

## Your Growth Path: L5 — New Products or Services

**Where you sit on the matrix:**
- Customer/market context: Less Known
- Degree of product change: High

**Why this path fits your situation:**
Customers are not just asking for another report. They are trying to complete an adjacent job your product informs but does not currently solve. The repeated export-to-spreadsheet-to-planning-tool workflow is a strong L5 signal because customers are already showing you the seam between your current product and the next product opportunity.

**The diagnostic question to keep asking:**
What adjacent jobs are customers already trying to solve around us?

**What innovation looks like here:**
Innovation is absorbing more of the customer's workflow without wandering away from the core. The new product or service should extend the job customers already trust you to support, not drag the company into a random adjacent swamp with nicer TAM numbers.

**A first experiment to run this week:**
Interview eight customers who requested forecasting or inventory planning. Ask them to walk through the exact workflow before and after using your product: tools, handoffs, spreadsheets, decisions, timing, and failure points. Look for consistency before scoping anything.

**Watch out for:**
Calling every adjacent request a strategy. L5 has the most upside, but also the highest risk. If the pattern is not repeated, painful, and close to the core workflow, it is probably not a new product path yet.

Why this works

• Distinguishes feature request from adjacent job
• Uses repeated customer behavior as evidence
• Keeps discovery ahead of roadmap commitment
• Warns against shiny-object strategy theater

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Example 5: Bad Diagnosis — Solution-First Growth Thinking

User shares

"We need to build an AI dashboard to grow revenue."

Why this fails

• "Build an AI dashboard" is a solution, not a growth path
• No customer segment is named
• No growth constraint is diagnosed
• No evidence suggests whether this is L2, L3, L4, or L5
• The product team is already standing at the feature altar with flowers in hand

Agent should push back

An AI dashboard may or may not be the right solution. First we need to diagnose the growth path.

Quick context:

1. What product or offering are we trying to grow?
2. Who is the current core customer?
3. Where is growth stalling?
4. What evidence suggests an AI dashboard would unlock growth?

User clarifies

"Our analytics product has strong retention with e-commerce teams. Customers keep exporting reports into spreadsheets to do forecasting and inventory planning. They ask whether we can help with that."

Agent reframes

• Possible Growth Path: L5 — New Products or Services
• Reason: Customers are pulling the product toward an adjacent job
• Better Diagnostic Question: What adjacent jobs are customers already trying to solve around us?

Better next step

Before scoping an AI dashboard, interview customers who requested forecasting or inventory help.

Ask them to walk through:
- What they do before using your analytics product
- What they do after exporting data
- What decisions they are trying to make
- What tools or spreadsheets they use today
- Where the workflow breaks down

If the pattern is consistent, the opportunity may be L5.
If not, the dashboard is probably just another feature-shaped hallucination with a login screen.

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Example 6: Bad Diagnosis — Confusing Campaigns with Channels

User shares

"We launched on Product Hunt and got 2,000 signups. We think Product Hunt is our new distribution channel."

Why this fails

• A launch spike is not necessarily a channel
• No evidence the motion compounds
• No evidence that signups became activated customers
• No repeatable access path has been identified

Agent should push back

Product Hunt may have created attention, but attention is not the same as a distribution channel.

A channel compounds. A campaign spikes.

Let's diagnose this:

1. Did signups continue after launch week?
2. Did the users activate and retain?
3. Can the mechanism repeat without another launch event?
4. What ongoing surface or behavior would keep exposing new customers to the product?

Better interpretation

• Possible Growth Path: L4 — New Distribution Channels
• But only if: The discovery/access mechanism can repeat without constant promotion

Better next step

Analyze Product Hunt signups separately from other cohorts.

Look at:
- Activation rate
- Retention after 30 days
- Paid conversion
- Referral behavior
- Whether users created outputs or invites that exposed the product to others

If the mechanism ends when the launch ends, it was a campaign.

Useful, maybe.

A channel, no.

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Example 7: Bad Diagnosis — Jumping to L5 Too Early

User shares

"Growth is slowing, so we think we need a second product."

Why this fails

• New product is the highest-risk organic growth path
• No evidence that L2 or L4 has been exhausted
• No adjacent job has been validated
• Slowing growth does not automatically mean the product needs a sibling

Agent should push back

A second product may be right, but L5 is the riskiest path.

Before going there, let's check whether simpler growth paths are still available:

1. Are there adjacent customer segments that already have the problem we solve?
2. Are customers sharing or exposing our product value in ways we have not turned into channels?
3. Is demand showing up in new markets we do not yet serve well?
4. What adjacent job are customers repeatedly asking us to solve?

Better interpretation

The answer may still be L5, but only if customers are repeatedly pulling the product toward an adjacent job.

Better next step

Run an L2/L4/L5 comparison before committing.

For each path, capture:
- Evidence
- Assumption
- First experiment
- Cost of being wrong

If L5 wins after that, proceed.

If it only wins because "new product" sounds more strategic in a board deck, put the shovel down.

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Example 8: Weak Input, Good Recovery

User shares

"We need growth. What should we do?"

Why this is incomplete

• No product context
• No current customer
• No evidence
• No known growth constraint
• No prior attempts

Agent should recover with context questions

I can help, but I need the basic growth context first.

Answer briefly:

1. What does the product do?
2. Who is the current core customer?
3. Where is growth stalling: acquisition, activation, expansion, retention, or something else?
4. What have you already tried?
5. What evidence do you have that growth is still possible from the current product?

Why this works

• Does not invent a strategy from fog
• Gets the minimum viable context
• Keeps the conversation moving
• Prevents confident nonsense from putting on a strategy hat

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Quick Interpretation Guide

Organic Growth Path Matrix Template

Use this template to compare four organic growth paths and identify which path has the strongest evidence.

Template

## Overview
- **Product / Offering:** [Name]
- **Current Core Customer:** [Primary customer segment]
- **Current Growth Challenge:** [Where growth is stalling]
- **What We Have Tried:** [Segments, channels, experiments, launches, campaigns, etc.]

## Matrix Axes

- **Customer / Market Context:** [Well Known / Less Known]
- **Degree of Product Change:** [Low / High]

## L2: New Customer Segments
- **Question:** Who else has the problem we already solve?
- **Matrix Position:** Well-known customer/market context + low product change
- **Evidence:** [1–2 sentences describing nearby buyers or segments that may need the current product]
- **Signals:** [Adjacent buyers, similar workflows, referrals, segment pull]
- **Risk:** [Where this segment may differ from the current core customer]

## L3: New Geographies
- **Question:** Where is demand showing up that we do not yet serve well?
- **Matrix Position:** Less-known customer/market context + low product change
- **Evidence:** [1–2 sentences describing geographic or regional demand]
- **Signals:** [Inbound traffic, signups, inquiries, regional usage, local partner interest]
- **Risk:** [Local trust, regulation, language, onboarding, or market-context friction]

## L4: New Distribution Channels
- **Question:** Where else could customers discover or access our value?
- **Matrix Position:** Well-known customer/market context + high access/distribution change
- **Evidence:** [1–2 sentences describing channels, partners, embeds, marketplaces, or product-led surfaces]
- **Signals:** [Shared outputs, referrals, integrations, partner paths, discovery moments]
- **Risk:** [Confusing a one-time campaign with a compounding channel]

## L5: New Products or Services
- **Question:** What adjacent jobs are customers already trying to solve around us?
- **Matrix Position:** Less-known customer/market context + high product change
- **Evidence:** [1–2 sentences describing adjacent jobs, repeated requests, workarounds, or workflow gaps]
- **Signals:** [Feature pull, manual processes, adjacent tools, customer requests, expansion opportunities]
- **Risk:** [Building new before the core is strong]

## Evidence Comparison
- **Strongest Growth Path:** [L2 / L3 / L4 / L5]
- **Why This Evidence Is Strongest:** [2–3 sentences]
- **Weakest Assumption:** [What must be true for this path to work?]
- **What Would Change Our Mind:** [Evidence that would move us to another quadrant]

## Recommendation
- **Recommended Path:** [L2 / L3 / L4 / L5] — [Path name]
- **Rationale:** [Why this path fits the current growth challenge]
- **Diagnostic Question:** [The key question to keep asking]
- **First Experiment:** [Smallest useful test to run in the next 5–7 days]
- **Decision This Experiment Supports:** [What the experiment will help the product team decide]
- **Watch Out For:** [Most likely trap]