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Below is a framework to help you identify what hinders your GTM strategy. To use it, start from asking yourself: what is the greatest threat that I see in my current state? I give you the following options to choose from:
These are the brightest symptoms of failures from archetypized perils of Compression, the excessive Friction and low customer Confidence — I call them perils stacks.
Once you — as a founder — identified yourself with one of them, I suggest we go one step deeper down these GTM failure archetypes.
Suppose, you feel your greatest peril of GTM stage is Pool depletion: the small market that is at risk of being partially poisoned by poor-fit client experiences. This includes three types of risks against which you may want to stress test your GTM strategy:
This is to say, if you are worried about customer pool depletion, then at least one of these perils is relevant to your current situation (more probably, two or all three).
To evaluate your exposure to the risk of Customer pool depletion, you may want to answer the questions below:
Below I will give more details on:
Let’s start from a small addressable market.
To gauge 1: How large is your potential kill zone?
The kill zone is defined by the gap between your self-assessed ICP pool (total number of potential clients matching your profile) and the number of clients required to hit your GTM OKRs, for example, break-even point or minimum viable revenue.
A time-adjusted refinement sharpens this gauge further: kill zone severity is not just a ratio but a ratio under time pressure. A 1-in-5 win rate with 18 months of runway is survivable with discipline; the same rate with 4 months is terminal. The adjusted formula: kill zone severity = (required wins / available ICP) × (monthly burn / remaining runway months).
To gauge 2: does GTM strategy mitigate the risk?
In a high kill zone environment, the conformant GTM strategy looks like this:
To gauge 3: waste symptoms already accumulating?
Leading indicators:
Lagging indicators:
Misattribution alert: when a small addressable market starts producing poor results, the most common misattribution is to the value proposition itself. Teams respond by expanding or duplicating the value proposition to attract a wider audience — what the perils article calls value proposition duplication.
This is a waste of the most compounding kind: it does not expand the real addressable pool, it attracts non-ICP clients who consume acquisition and servicing costs and then churn, and it blurs the product identity precisely when clarity is most needed. The actual fix is not a broader message but a sharper one. And a buyer champion strategy that expands the pool through referral rather than through
To identify if you really have a risk that your value is not clear enough to the client, think — Can your value survive the “so what” test?
To gauge (1): Can your value metric survive the "so what" test?
Take your primary value claim and ask three consecutive "so what" questions. If the chain breaks before reaching a financially or emotionally resonant outcome (cost saved, risk avoided, revenue gained, fear eliminated), your value metric is operating at the wrong register.
For instance, the food & beverage compliance example in the article “7 death perils of the GTM” fails this test: "15% time saving on audit prep" → so what? → "audits take less effort" → so what? → (chain breaks — no clear financial or fear-based outcome stated). The correct terminus is: "reduced exposure to regulatory penalty or product recall."
To gauge (2): Does GTM strategy mitigate the risk?
Conformant strategy in a poorly-articulated-value environment:
To gauge (3): waste symptoms already accumulating?
Misattribution alert: teams typically blame pricing ("they think it's too expensive") when the real problem is that the value hasn't been made legible enough to justify the price. The response in the form of discounting is pure waste that accelerates margin erosion without addressing legibility.
Finally, let’s see how you stack up against the risk that no one is evangelizing your product (except for you alone).
To gauge (1): Where does your evangelism energy come from?
The chain of clients between your product and the final consumer can either generate pull organically (if each node is genuinely enthusiastic) or create drag (if each node is merely tolerant).
The diagnostic question is: who in your current client or prospect base would evangelize your product without being asked and without financial incentive? If the honest answer is "no one yet" or "we're not sure," you have a red flag. If the answer is "our early clients are satisfied but not vocal," you have a latent peril — satisfaction without advocacy is a fragile GTM foundation.
A useful risk gauge: map your customer chain (distributor → retailer → end user, or cooperative → farmer → farm worker, etc.) and score each node on two dimensions: enthusiasm (do they actively want this product to succeed?) and network influence (can they move others?). A buyer champion needs both. High enthusiasm + low influence = a fan who can't amplify. High influence + low enthusiasm = a channel partner who won't advocate. You need the intersection.
To gauge (2): does your GTM strategy cultivate champions or assume them?
This is the critical distinction. Many GTM strategies assume that good product performance will generate champions organically. It rarely does at the speed a GTM stage requires. Conformant strategy when buyer champions are absent or weak:
To gauge (3): waste symptoms already accumulating?
Misattribution alert: absent buyer champions is almost always attributed to product maturity ("we need more features before clients will recommend us") or market education ("the market isn't ready yet"). Both attributions lead to product investment and content spend — waste that delays the actual fix, which is a deliberate champion cultivation strategy starting from the very first client relationship.
This scenario is easily observable when you have
Your product may be right; your path to the buyer is structurally obstructed.
This scenario requires priority audit of the following risks:
To gauge (1): How dispersed or insulated is your ICP?
Map your potential clients along two axes: physical dispersion (local → national → pan-European) and network embeddedness (open/reachable → semi-closed → bubble). The higher both scores, the greater the accessibility risk.
What is the cost and time required to reach a single qualified prospect for a first conversation? If that number is disproportionate to your average deal size, you have a red flag.
To gauge (2): Does GTM strategy mitigate the risk?
In high-accessibility-risk environments, the conformant GTM strategy looks like this:
To gauge (3): waste symptoms already accumulating?
Misattribution alert: founders typically blame messaging quality or product-market fit when accessibility is the actual problem. The response — rewriting the pitch, repositioning the offer — is waste that doesn't address the structural obstacle.
To gauge (1): How many doors are between you and the end buyer?
Map the full decision chain from your first point of contact to the person who actually uses and pays for the product. For the farming cooperative example, this chain looks something like:
cooperative board → cooperative procurement committee → individual farmer member → (potentially) farm employee who operates the product.
Each node in the chain has its own interests, veto power, and timeline. The diagnostic question is not just how many nodes exist, but how many have conflicting interests with either you or each other. A cooperative's commercial interest (margin on resale, control of member relationships, vendor negotiation leverage) may directly conflict with the individual farmer's interest (lowest cost access, direct relationship with the innovator, freedom of choice). That conflict is not incidental — it is structural, and it will not be resolved by a better pitch.
Score your gatekeeper risk on two dimensions: chain length (number of nodes) and interest divergence (how many nodes have interests that conflict with the end buyer's or yours). High on both = severe peril. Even moderate on both = significant drag.
To gauge (2): does GTM strategy account for the chain?
Conformant strategy when sequential gatekeepers are present:
The key insight here is that the cooperative only becomes a gatekeeper if it sees you as a threat to its margin or control. If you can reframe the relationship so the cooperative earns from your GTM (referral structure, co-branded offer, data sharing arrangement), the gatekeeper becomes a channel. This is the structural resolution of peril 6 — not bypassing the gatekeeper but converting them.
To gauge (3): waste symptoms already accumulating?
Misattribution alert: sequential gatekeeper resistance is almost always attributed to product fit problems or pricing objections. The response in the form of feature additions, price reductions is waste that doesn't address the structural obstacle. The actual fix is a channel architecture redesign, not a product or pricing intervention.
To gauge (1): How far is your language from your client's native frame?
The drone agriculture example is a precise illustration of a hidden translation gap: the GTM language operates at the outcome level ("high crop yields") while the client's mental model operates at the mechanism level ("what does a drone have to do with fertility?"). The missing link, i.e. the specific fertilizer formulated for drone application, is bundled but invisible.
A useful diagnostic: have three ICP prospects narrate back what your product does in their own words, unprompted. If their narration diverges significantly from yours, or if they insert their own "missing steps," you have a language gap. The severity is proportional to how many steps are missing.
To gauge (2): does GTM strategy bridge the gap?
Conformant strategy when language misalignment is active:
To gauge (3): are waste symptoms already accumulating?
Misattribution alert: misaligned language is almost always attributed to "poor marketing" or "weak sales skills." The response in the form of new creative, new sales hire, new deck is waste. The actual fix requires going upstream to the problem framing itself, which is a product positioning intervention, not a marketing execution fix.
This scenario is easily observable when you have an externally dependent product (regulatory, policy, technology standard). The Great Doubter inside your customer is sleeping but present. Address it before it wakes during a sales cycle. This pattern is often coupled with the wrong language.
This scenario requires priority audit of the following risks:
To gauge (1): Is there a structural "if" embedded in your market?
Ask yourself: does your product's value depend on an external condition remaining stable: a regulatory regime, a technology standard, a macroeconomic trend, a buyer's internal budget priority? If yes, map the probability and impact of that condition reversing.
The carbon emission management example is high on both dimensions: regulatory reversal is plausible and its impact on the entire product category is severe.
Score your "if" on a 2×2 of probability × magnitude. High probability + high magnitude = active Great Doubter. Low probability + high magnitude = dormant Great Doubter (still dangerous — this is where the carbon case lives most of the time).
To gauge (2): does GTM strategy directly address the doubt?
Conformant strategy when the Great Doubter is present:
To gauge (3): waste symptoms already accumulating?
Misattribution alert: this is the peril most reliably misattributed to pricing and competitive differentiation. Both responses or discounting and feature-building are motion waste: significant energy expenditure in the wrong direction.

Bohdan Lytvyn, Nertis
Not sure what risks does your GTM strategy holds?
Start with GTM Audit if risk exposure is unclear.