How we work

One methodology. Adjusted for your stage and motion — never copy-pasted from someone else's playbook.

Every engagement runs through the same four phases. What changes is which service gets activated first, based on what your diagnostic actually found.

The methodology

Diagnose. Align. Activate. Scale.

Phase 01 · Weeks 1–2

Diagnose

We don't start with a recommendation. We start with your funnel data, your ICP, win/loss patterns, and the same 10-question framework behind the GTM diagnostic — run in depth, with your team in the room.

Root cause memoScoreboard across 6 dimensionsFit + intent + timing read
Phase 02 · Weeks 2–4

Align

Sales and marketing agree on the same definitions, the same narrative, the same north star metrics — before a single campaign launches. This is usually the fastest-trust-building phase, and often the cheapest.

Shared MQL/SQL scorecardMessaging house v1Board-ready revenue blueprint
Phase 03 · Weeks 4–12

Activate

The system goes live — demand gen, conversion, enablement, or all three, sequenced correctly based on your root cause, not run in parallel just because the contract has room for it.

Demand engine liveCRO experiments shippedEnablement kit in sales hands
Phase 04 · Ongoing

Scale

Intelligence and ecosystem layers compound the result without proportionally more spend — the system keeps running and improving after the initial sprint ends.

Monthly GTM Intelligence dashboardQuarterly experiment reviewEcosystem & referral activation
Stage and motion fit

Series A, B, and C are different problems — we don't run the same playbook for all three.

PLG, SLG, and hybrid motions also change which service gets activated first. The diagnostic captures both before we ever recommend anything.

StageMost common constraintWhat we activate first
Series A ($1M–$5M ARR)Strong win rates, insufficient volume — a demand creation gap, often with no real marketing function yet.Positioning foundation, then a from-scratch demand gen engine.
Series B ($5M–$12M ARR)Declining win rates despite higher volume — usually ICP drift, where the segment you're targeting has quietly shifted.ICP audit and messaging house rebuild before touching channel spend.
Series C ($12M–$20M ARR)CAC payback expanding at scale — channel saturation, and sales/marketing alignment cracks start to show.GTM alignment workshop, CAC/LTV audit, and expansion/NRR system in parallel.
PLG motionTrial-to-paid conversion and in-product activation, not top-of-funnel awareness.Website conversion system and lifecycle email, sequenced before paid spend.
SLG motionSales cycle length and rep-to-rep messaging inconsistency.Messaging house, sales enablement kit, and competitive battlecards.
Hybrid motionA clean PQL-to-SQL handoff that nobody owns.Lead scoring engine rebuild plus a joint GTM alignment workshop.
How we use AI

AI-assisted speed. Human-owned judgment. Always disclosed, never hidden.

Buyers can tell when AI output ships raw, and it costs trust when it does. Here's exactly where AI touches your engagement and where it never does.

AI-assisted

  • First-pass drafts of content, ad copy, and email sequences
  • Pattern-matching across your funnel data to surface anomalies faster
  • The GTM diagnostic's scoring and first-draft report generation
  • Research synthesis across competitors, reviews, and forum signal

Always human-owned

  • Root cause diagnosis and the strategic recommendation behind it
  • Every client-facing deliverable is reviewed and signed off by Jithin before it ships
  • Pricing, scope, and engagement decisions
  • Anything that touches a number your board will see

See which phase you'd start at.

The diagnostic runs the same root-cause logic used in Phase 01 — in about 4 minutes, for free.

Take the GTM diagnostic Book a call instead