Customer Centric Solutions LLC
Diagnostics

Loops are the engine. Moats are the result.

Two instruments, and which one applies depends on how far along you are. Before there's a result to measure, you diagnose the engine. Once there is, you test whether it holds.

Which one

A company raising its Series A is pre-result.

Score a company raising its Series A against eight moats and it will report EXPOSED almost by construction — no data asset yet, no regulatory position, no ecosystem, no distribution. That isn't a diagnosis. It's a description of being early.

The answerable question at that stage is whether the growth mechanism compounds at all — whether something accumulates on your side and something is retained on the customer's side each time the loop turns. That's the Loop Diagnostic, and it's the question your board is already asking.

Defensibility becomes a real question later in Series A, once there's accumulated stock to measure and a funded competitor worth measuring against. Run in the wrong order, moats produce a demoralizing number instead of a decision.

Two free instruments, two different jobs

The free Business Loop Diagnostic is something you run on yourself — eleven questions, result on the page, email only for the written report. The 8 Moats Diagnostic is something I run on a named company and publish. Route by stage: loops before moats, and defensibility once you're past raising the A.

Seed through Series B · Business Loop Stress Test

Is this a loop, or a funnel with good retention?

Most companies describe their growth as a flywheel. Most of them have a funnel they're refilling every quarter with money. The difference is whether the output of each cycle becomes an input to the next.

Free · 11 questions · about 3 minutes

Start with the free Business Loop Diagnostic.

A self-serve check you run on yourself. It returns which of the five loop types are actually available to you at your stage right now, and where your effort is going that can't compound. That result appears on the page immediately, with no email required. The written report — three prioritized moves, your closing-door flags, and the scoring rubric — takes an email, and I write it myself within one business day.

Run the Diagnostic
Verdict 01

Real loop

Something compounds on your side — the Compounding Asset — and something is retained on the customer's side. Each turn makes the next one cheaper.

Verdict 02

Funnel posing as a loop

The mechanism looks circular in the deck, but the output doesn't actually feed the input. Growth still costs the same per unit as it did last year.

Verdict 03

Funnel

Linear acquisition, honestly described. Not a failure — plenty of good businesses are funnels. But it changes what your growth plan can assume.

The five loop types

Each loop type is defined by what it retains and compounds over time — not by the channel it runs through. Co-created with Krzysztof Czubak.

01

User Loops

Compounds per interaction
What compounds
Users · attention · demand
What customer retains
Connection, identity, belonging — the network is where their people are.
Each cycle turns existing users into a source of new users. The product spreads through use.
Examples
Referrals · network effects · word-of-mouth · viral sharing
02

Content Loops

Compounds continuously
What compounds
Content · data · knowledge
What customer retains
Confidence the answer is there, less effort to find or verify it.
Each cycle adds information that makes the product more valuable to the next user.
Examples
SEO · UGC · internal playbooks · ML training data
03

Trust Loops

Compounds over years
What compounds
Proof · credibility · reputation
What customer retains
Reduced anxiety about risk; the decision feels safe.
Each cycle reduces uncertainty for the next customer. Confidence becomes the asset.
Examples
Reviews · ratings · case studies · audit history
04

Skill Loops

Compounds monthly
What compounds
Mastery · habit · identity
What customer retains
Fluency and competence — switching means relearning.
Each cycle makes users, or teams, better at using the product. Switching means relearning.
Examples
Streaks · capability levels · certifications · expertise
05

Capital Loops

Compounds quarterly
What compounds
Money · efficiency · operational leverage
What customer retains
Predictability — better prices, better economics, fewer surprises.
Each cycle generates surplus that funds the next cycle. Margin becomes the engine.
Examples
Conversion · expansion revenue · LTV/CAC reinvestment · automation
Why cadence matters

Cadence bounds how many turns a loop can possibly have run — which bounds what can be observed rather than inferred. A trust loop compounding over years has barely turned inside an eighteen-month-old company, so it can only be assessed on whether it's designed to close. A user loop compounding per interaction may have turned thousands of times in the same company and is fully assessable. This is why the diagnostic takes turns elapsed rather than founding date, and why two companies at identical funding stages get different verdicts.

Loop turns, not funding stage

Compounding is measured in revolutions, not months. A PLG company at seed may have run thousands of loop turns; an enterprise company at Series B with a fourteen-month sales cycle has run three. Judging the second by elapsed time is a measurement error — the loop hasn't had enough revolutions to show.

So intake takes your go-to-market motion and your turns elapsed. Under roughly ten turns, the verdict is whether the loop is designed to close. Past fifty, we can assess whether it is observed closing.

Motion sets the candidates

A field-sales enterprise company cannot build a User loop, and grading it against one produces a false negative — calling a working business a funnel. Sales-led motions run on Trust and Skill. PLG runs on User and sometimes Content. Marketplaces are User loops with the short side as the binding constraint by definition.

The failure mode we design against is judging an enterprise trust loop by PLG standards.

Evidence grades on every finding

Each claim is marked OBSERVED, INFERRED, or REQUIRES CLIENT INPUT. An early-motion company will come back mostly INFERRED, and that's honest rather than a weakness — it tells you which parts of the verdict rest on public evidence and which rest on reasoning you're entitled to argue with.

Late Series A and beyond · 8 Moats

What holds when a funded competitor shows up?

Eight moats, each scored 0–3, producing a defensibility position out of 24. Built on Hamilton Helmer's 7 Powers and Gokul Rajaram's eight-moat frame, extended into a repeatable instrument.

01
Data
Proprietary data that improves the product and can't be bought.
Fails when
A competitor buys the same source, or the model layer commoditizes the insight.
02
Workflow
Embedded in how work gets done, so leaving means re-learning.
Fails when
A new interface layer sits on top and does the workflow for the user.
03
Regulatory
Licences, certifications, and compliance positions competitors must earn.
Fails when
The rules change, or the barrier is lowered and everyone qualifies.
04
Distribution
Channels and relationships that reach buyers others can't.
Fails when
The channel changes its terms, or the partner builds the thing itself.
05
Ecosystem
Third parties who've built on you and would bear the cost of your loss.
Fails when
The platform absorbs your function, and the builders move up a layer.
06
Network effects
Value that rises with participation rather than with spend.
Fails when
Multi-homing. Users join both, and exclusivity quietly disappears.
07
Physical
Infrastructure and assets that take capital and time to replicate.
Fails when
Capital arrives and someone builds it newer, cheaper, or closer.
08
Scale
Cost position that improves with volume faster than a challenger's.
Fails when
A challenger with different economics doesn't need your volume to compete.

Every moat has a way it stops working. That's the argument for scoring all eight rather than defending the one you're proudest of — the failure modes are independent, so depth in a single moat is one bad quarter away from being nothing.

Four positions

Exposed
Little that a funded competitor couldn't replicate within a year.
Partial
Real strength in one or two moats, thin everywhere else.
Stacked
Several moats reinforcing each other rather than standing alone.
Fortified
Depth across most moats, with the stack compounding.

The scale runs on stack depth rather than peak strength, because single moats keep failing — the data advantage a competitor buys, the regulatory position that gets deregulated, the distribution deal that ends. Depth in one moat is a wall; several reinforcing each other is a position. No single moat is durable — stack them →

Free · request it

The 8 Moats Diagnostic

Scores across all eight moats with a position and a written rationale for each. Methodology-light — you get the assessment, not the machinery behind it. No cost and no call: submit your company and I run the same instrument used on every scorecard in the published library below.

Request your diagnostic
From $1,950

The Defensibility Stress Test

The rigorous version, with the methodology visible. Every score pressure-tested through five lenses, trajectory analysis on whether each moat is widening or eroding, two diagnostic flags, and head-to-head comparison against two to four named competitors.

Book a discovery call

The five lenses

A score is an opinion until it survives something. Each moat is tested against all five.

Barrier + benefit
Helmer's test: a moat needs both, or it's just an advantage.
AI-era shift
Which moats does cheap intelligence erode, and which does it deepen?
Disruption
Christensen: is there a good-enough entrant coming up from below?
Aggregation
Who owns the demand relationship, and does that make you a supplier?
Value chain
Porter: where does the margin actually sit, and is it moving?
Published analysis

Run in public, posted and written about.

Judge the analysis before you buy it. Every teardown below uses the same instrument, the same rubric, and the same four positions — so you can check whether the reasoning holds on a company you already have an opinion about. Each one was published and argued in public.

8 Fortified1 Stacked 4 Partial2 Exposed Range 18/24 to 2/24
Fortified Stacked Partial Exposed Tether score inferred, not read

Public analyses. Not client work. The spread is the point — an instrument returning Fortified on everything would tell you nothing. See all 15 scorecards →

Where diagnostics sit

Demand first. Defensibility second.

A moat around a market nobody wants is an expensive wall. Diagnostics tell you whether what you've built holds; research tells you whether it's worth holding.

Most engagements start with research and use a diagnostic to pressure-test what it finds. If you're not sure which end to start from, that's a reasonable thing to spend fifteen minutes on.