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/helm

@95d6993
by shingo imotasimota/agent-skills85 stars
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Simulating business strategy via short/mid/long-term scenario planning from financial, market, and competitive data. Applies SWOT/PESTLE/Porter, KPI forecasting, roadmaps. Does not write code.

Use this Skill: https://skilld.dev/gh/simota/agent-skills/helm

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referencefinancial-modeling-pitfalls.md

≈2.4k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Purpose: Use this reference when Helm models SaaS, growth, runway, or investment outcomes. It preserves the key modeling traps, 2026 benchmark ranges, and alert thresholds used in strategic simulation.

Contents

  • FM-01..FM-10
  • SaaS benchmarks
  • scenario design guidance
  • Helm alert thresholds

Financial Modeling Pitfalls & SaaS Benchmarks 2026

Financial Modeling Anti-Patterns

ID Pitfall Failure mode Fix
FM-01 Underestimating churn Retention assumptions are too optimistic Model churn by segment and by voluntary/involuntary components
FM-02 Ignoring the J-curve Payback and cash recovery are understated Track CAC payback and monthly burn explicitly
FM-03 Ignoring step costs Costs are modeled as linear when they jump at thresholds Define infrastructure and headcount trigger points
FM-04 Hard-coded assumptions Sensitivity analysis becomes impossible Separate assumptions into parameter tables
FM-05 Generic template dependence Business model-specific drivers disappear Model with domain-specific drivers
FM-06 Flat expansion-rate logic Expansion revenue is treated as a single percentage Split seat growth, tier upgrades, and usage expansion
FM-07 GTM shift not reflected Legacy assumptions remain after GTM changes Rebuild conversion, CAC, and retention after GTM changes
FM-08 Single-scenario planning Risk is hidden behind one narrative Always build 3+ scenarios; use 1.8x as a fundraising-rate reminder
FM-09 No actual-vs-plan review Model quality never improves Review monthly and version assumptions
FM-10 No cohort analysis Generational behavior differences are hidden Track cohort churn, LTV, and expansion

SaaS Benchmarks

Core Metrics

Metric Benchmark Interpretation
Rule of 40 40%+ healthy, 50%+ top quartile, 60%+ elite. Q4 2025 public SaaS median is only 28%, with only ~20% of 58 actively-traded SaaS names clearing the 40 line (Aventis Advisors 2026) <20% is a warning
Burn Multiple <1.0x at $25-50M ARR; AI-native cohorts run 0.8x-1.2x at the same scale (High Alpha 2026); early-stage default is ~3.4x (SaaS Capital efficiency tracker 2026) >2.0x is a red flag
NRR overall median 106% (2026 broad survey); Optifai 939-company panel: Enterprise ACV >$100K 118%, Mid-Market 108%, SMB 97%; Bessemer Cloud Index (public-co structural advantage) 114%; AI-native median 48% with GRR 40% (m3ter / SaaS Mag 2026) — most AI tools below the $250/mo line have not yet reached durable PMF; AI premium tier above $250/mo: GRR 70%, NRR 85%; elite 130%+ <100% means net shrink — apply segment context for SMB and AI-native cohorts
Gross Margin classical SaaS 70-80%; AI-native new normal 60-70% (SFAI Labs 2026 disclosure tracker; Bessemer "Shooting Stars" run ~60% post custom-model + inference reset) reset benchmark down for AI workloads
CAC Payback 12-18 months >24 months is weak
LTV:CAC 3:1+ below this suggests poor unit economics
Magic Number >0.75 efficient sales and marketing spend

Churn Benchmarks

Segment Monthly churn Annual churn
B2B SaaS overall 0.3%-1.0% 3.5%-5%
Enterprise <=1.0% <=10%
SMB 3%-7% 30%-58%
Usage-based / freemium 5%-10%+ 50%+
B2C SaaS 0.4%-1.0% 6%-8%

Additional churn split:

Voluntary churn:    2.6%-3.3%
Involuntary churn:  0.8%-1.1%

Scenario Design

Scenario Growth Churn Margin Use
Bull top-quartile low-end benchmark target +5pt upside capacity planning
Base current trajectory current segment rate current level operating budget
Bear roughly 50% of current growth benchmark upper bound target -10pt downside planning
Crisis 0% or negative 2x normal churn major compression survival planning

Assumption Management

  1. Keep assumptions separate from formulas.
  2. Tag each assumption by confidence.
  3. Reconcile assumptions monthly against actuals.
  4. Run ±20% sensitivity on major assumptions.
  5. Never ship only one scenario.

Checklist

  • Churn is segmented.
  • Expansion is modeled by mechanism.
  • Step-cost thresholds exist.
  • CAC is channel-specific.
  • Seasonality is represented if material.
  • GTM assumptions match the current motion.

Helm Alert Thresholds

Signal Threshold Response
Churn >1.5x segment benchmark upper bound RED
Burn Multiple >2.0x RED
Rule of 40 <20% YELLOW
NRR <100% RED
CAC Payback >24 months YELLOW

Helm Integration

Use this with:

  • SIMULATE for financial scenario construction
  • ST-1 / ST-2 patterns when modeling MRR, runway, or cash flow
  • ROADMAP when deciding pace, investment, or hiring capacity
  • FORESIGHT when comparing model outputs against actual SaaS metrics

2026 AI-Native Modeling Addendum

When the business model includes AI inference as a primary cost driver, override classical SaaS assumptions:

Driver Classical SaaS default AI-native 2026 default Rationale
Gross margin 75% 60-65% (worst-case 50%) Inference COGS varies with usage; per-token margin pressure persists even after model price cuts (SFAI Labs 2026)
NRR 106% Treat <85% as expected baseline below $250/mo ACV until PMF proven; require 90-day cohort GRR before forecasting expansion AI-native median NRR 48% / GRR 40% reflects churn-driven retention
CAC Payback 12-18 months 6-12 months (compressed by faster activation) but rebound risk: churn at month 12-18 if value is novelty-driven Optimistic curve can disguise downstream cliff
Per-active-user cost rarely tracked mandatory: track inference + storage cost per WAU; flag when COGS/seat > 20% of ARPU Without this view, healthy Rule-of-40 can mask negative contribution margin per power user

Series B Fundability Filter (Carta + Bessemer 2026 read)

Bar in 2026:

  • Growth + profitability margin >40% (Rule of 40)
  • Burn Multiple <2.0x
  • Disclosed plan to reach >75% gross margin within 24 months or defensible reason why 60-65% is structural

Companies missing all three are dropping out of the Series B-fundable pool that would have been raised in 2021 (Aventis Advisors 2026, High Alpha 2026).


Threshold Long Form (SKILL.md excerpt)

  • Monitoring escalation (deviation-based): YELLOW at 5% deviation (team lead review + corrective plan); ORANGE at 10% deviation (department head + resource reallocation); RED at 15%+ deviation (executive review + strategic intervention). Legacy KPI-miss thresholds: YELLOW when 1-2 KPIs miss by <20% or assumption is WATCH; RED when major KPI miss >20% or assumption is BREACH; BLACK when multiple BREACH states invalidate the strategy.

  • FORESIGHT thresholds: prediction accuracy (measured via MAPE — Mean Absolute Percentage Error) >0.80 = strong (industry benchmark for strategic forecast accuracy), 0.60-0.80 = review, <0.60 = weak — reassess drivers and assumptions; scenario bracket rate >0.85 = well-calibrated, 0.70-0.85 = good, <0.70 = widen range or review drivers; review forecast cycle time and variance attribution rate alongside accuracy.

  • SaaS financial alert rules (2026 benchmarks): churn — B2B annual average 3.5%, top performers <3%, monthly <1% signals strong PMF, enterprise <0.5%; involuntary churn (failed payments) accounts for 20-40% of total churn — always decompose voluntary vs involuntary before escalating; churn >1.5x upper benchmark = RED; Burn Multiple >2.0x = RED; Rule of 40 <20% = YELLOW, >40% = healthy, >60% = elite (2-3× higher valuations; only 11-30% of SaaS companies achieve this); NRR — overall median 104-106% in 2025-2026 (segment medians: Enterprise ACV >$100K 118%, Mid-Market 108%, SMB 97%); <100% = RED for Enterprise/Mid-Market — for SMB, benchmark against segment median since SMB median is below 100%; top performers 120%+, elite 130%+ (2.3× higher valuations); CAC Payback >24 months = YELLOW (median 18-20 months per Pavilion B2B 2025 benchmarks, elite <12 months); CLV:CAC ratio <3:1 = YELLOW (target 4:1+). SaaS Triangle quick health check: Gross Margin 75%+, CAC Payback <18 months, NRR >101% — all three green = fundable baseline. Market context: median ARR growth 19-21% for 2025 cohort (High Alpha / Burkland 2025 SaaS Benchmarks — source: https://burklandassociates.com/2025/11/18/2025-saas-benchmarks-what-great-looks-like-and-how-to-reach-it/); sustainable growth valued over hypergrowth; 40%+ of new ARR from existing customers, emphasizing retention-led growth.

  • KPI hygiene: limit to 3-5 strategic KPIs for executive focus, 8-12 core KPIs for leadership dashboard; update operational KPIs daily minimum, strategic KPIs weekly minimum; always pair leading indicators with lagging indicators; set SMART targets (specific, measurable, achievable, relevant, time-bound) drawing on historical performance and industry benchmarks.

Source: SKILL.md on GitHub

1 warning5mo5 checks · Risk SAFE
  • Gen Agent Trust Hub5mo

    The 'helm' skill is a comprehensive strategic analysis agent designed for business simulation and KPI forecasting. It utilizes frameworks like SWOT, PESTLE, and Porter's Five Forces to provide decision support. Security analysis confirms the skill is safe, with no detected malicious code, data exfiltration patterns, or obfuscation techniques. A minor surface for indirect prompt injection is noted due to the ingestion of external market data, which is standard for research-oriented agents.

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    Risk: MEDIUM · 1 issue

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  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

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