Frictionless Sales cheat sheet

SPICED expands to Situation, Pain, Impact, Critical Event, and Decision; each letter is a discovery checkpoint, not a scripted question order.

Situation captures the buyer's current state: tools, team size, process, and metrics baseline; it is the context every later letter references.

Pain must be stated in the buyer's own words; a pain the seller names but the buyer does not confirm is an assumption, not a qualified pain.

Impact quantifies the cost of the pain in money, time, risk, or opportunity; without a number the deal has no business case.

Critical Event is the dated reason the buyer must act now (contract expiry, audit, funding round, regulatory deadline); no critical event means no urgency.

Decision maps the buying committee: economic buyer, champion, blockers, and the approval path including legal, security, and procurement.

A deal is disqualified when any SPICED letter is empty; a missing Decision or Critical Event is the most common cause of stalled pipelines.

Impact math example: hours lost per week x loaded hourly cost x 52 = annual cost of pain, used as the baseline for ROI claims.

The bowtie replaces the linear funnel: the left side is pre-sale (awareness to closed-won), the right side is post-sale (onboarding to expansion and advocacy).

The knot of the bowtie is the closed-won moment; it is a handoff point, not the finish line, and revenue after the knot usually exceeds first-contract value.

Left-side stages typically map to marketing-qualified and sales-qualified stages; right-side stages map to onboarding, adoption, expansion, and advocacy.

Retention, expansion, and referral are measured separately from new logo acquisition; blending them hides where revenue actually leaks.

Net revenue retention above 100% means the installed base grows without new logos; below 100% means acquisition must outrun churn to stand still.

Expansion signals (usage growth, new teams, seat saturation, executive sponsor change) are the post-sale equivalent of buying signals and should trigger plays.

Advocacy is the final right-side stage: references, case studies, and referrals convert existing customers back into left-side demand.

A bowtie metric set pairs conversion rates per stage with time-in-stage on both sides; slow right-side stages predict churn before it appears in revenue.

Revenue architecture is the designed system of segments, roles, coverage, compensation, and data that turns go-to-market strategy into predictable revenue.

Segmentation precedes coverage: accounts are grouped by potential (e.g., enterprise, mid-market, SMB) and each segment gets a matching sales motion and cost-to-serve.

Coverage models allocate selling capacity per segment: named accounts, territory, inbound/self-serve, or channel; the model must match deal size and buying behavior.

Specialization splits roles by function (SDR, AE, AM, CS) or by segment; each split adds handoffs, so it must buy more capacity than the coordination it costs.

Compensation design follows the architecture: pay mix (base/variable), quota setting, and accelerators must reward the behavior the segment needs.

Quota capacity planning: quota = available selling capacity x productivity assumption; if total quotas exceed a realistic pipeline multiple, the plan is over-assigned.

Territory and account assignment rules should be written and stable for the period; mid-year reassignment destroys trust and forecast accuracy.

Revenue data infrastructure (CRM stages, definitions, attribution) is part of the architecture; inconsistent stage definitions make every downstream metric unreliable.

The 3X Seller model holds that top performers deliver roughly three times the output of average sellers, driven by a repeatable operating system rather than raw effort.

The three multipliers are commonly framed as pipeline creation, deal execution, and account expansion (or time, territory, and talent); each is a lever that compounds.

Pipeline multiplier: 3X sellers generate more qualified pipeline per unit of time by targeting the right accounts and using multi-channel, personalized outreach.

Execution multiplier: they run disciplined discovery, multi-thread the buying committee, and qualify out fast, so win rates and cycle times both improve.

Expansion multiplier: they treat closed-won as the start of the relationship, driving adoption, upsell, and referrals that lower cost of acquisition.

Time allocation is a core diagnostic: top sellers spend more hours in high-value activities (customer conversations, deal strategy) and less on admin and low-probability deals.

Deal inspection habits (SPICED completeness, next-step dates, committee coverage) are the mechanism behind the execution multiplier, not personality.

The model is a coaching framework: managers diagnose which multiplier is weakest per rep and coach that lever instead of applying uniform pressure on activity volume.