OGS(P)T: The Planning Framework with a Spine
This is Part 6 in the 2026 Planning Series. New here? Start with [Part 5: Defining the Business Challenge]
I recently watched a team debate cutting innovation spend because CPMs looked high and ROAS looked weak compared to core.
A completely predictable scenario — and exactly the moment OGS(P)T is designed to address.
Because cutting innovation support isn't an optimization. It's a strategic pivot away from the growth model — whether you're willing to call it that or not.
If the strategy isn't working, let's say that and recalibrate. But retreating within Y1 of launch because metrics look exactly as expected verses the core? That's not a pivot. That's just proving we were never committed to the bet.
OGS(P)T (Objective, Goal, Strategy, Pillars, Tactics) is a forcing mechanism that makes you decide what matters before the metrics do.
Here's how it works in practice:
The operator version of OGS(P)T
Objective (WHAT problem + WHY it matters)
This is your response to the business challenge you identified in Part 5.
If this worked perfectly, what would actually change in the business? Revenue quality? Margin? Velocity? Retention? Distribution leverage? Decision confidence?
Bad objective examples:
"Grow the brand"
"Increase awareness"
"Launch into retail"
"Hit $X million in revenue"
Good objective examples:
"Expand consideration beyond [narrow use case] into [broader category] — so we're not competing in a niche that caps our addressable market" → Responds to business challenge: "We're winning in a niche, but it's too small to support growth targets"
"Build pricing power so we can maintain margin as we scale — instead of relying on promotional volume to hit targets" → Responds to business challenge: "We're stuck in a promotion-dependent game that erodes margin"
"Build repeatable retention so growth isn't capped by acquisition volume — and we're not dependent on constantly finding new customers" → Responds to business challenge: "CAC is rising, conversion is plateauing, and we have a leaky bucket"
Why these work:
They address a fundamental business constraint (not a tactic or output)
They explain what solving it unlocks
Multiple strategies and tactics could ladder up to them
Goal (How you MEASURE success)
The measurable proof that the objective moved.
One primary metric
Optional secondary metrics
No dashboards full of "nice to watch" KPIs
If this number doesn't move, the plan didn't work — no matter how busy the team was.
Good goal examples:
Primary: Household penetration in [broader category] increases from 4% to 7% by year-end
Secondary: Brand awareness in [broader use case] reaches 35% (up from 12%)
Primary: Full-price sales mix increases from 45% to 65% by Q4
Secondary: Contribution margin improves from 32% to 40%
Primary: 2nd purchase rate reaches 45% within 90 days (up from 22%)
Secondary: Customer LTV increases from $65 to $95 by year-end
Why these work:
One clear primary metric that proves the objective moved
Secondary metrics provide diagnostic context
Specific targets with timeframes
Can't be gamed by vanity metrics
Strategy (Your HOW — the causal belief)
Your bet on how that goal will move.
A strategy is not:
"Improve awareness"
"Invest in lifecycle"
"Test influencers"
"Lean into brand"
A strategy is a causal belief: If we do X, then Y will change, because Z is currently broken or underleveraged.
You should be able to defend why this is the right lever now — not just a lever.
Good strategy examples:
“Build retail as our primary discovery channel to reduce CAC and improve customer quality”
“Reposition from [narrow use case] to [broader category solution] to expand consideration to everyday usage”
“Shift investment from acquisition to retention infrastructure to increase LTV”
Why these work:
They name the lever (retail, repositioning, retention)
They predict the outcome
They diagnose what's broken
They're defensible, not just directional
P — Pillars (the missing step) (How you ORGANIZE the work — the constraint)
Before tactics, you need constraint.
Pillars are the 3–4 strategic lanes you will allow work to happen inside — and just as importantly, what you will not do.
Pillars prevent channel sprawl, pet projects, "Can we also…?" meetings, and death by one-off initiatives.
If an idea doesn't ladder to a pillar, it doesn't get resourced.
Example:
If your three pillars are:
Retail velocity & door expansion
Owned retention infrastructure
Sampling & trial programs
Then when someone pitches:
"Should we test TikTok Shop?" → Does it drive retail velocity or sampling distribution? No? Then no.
"Influencer wants to partner" → Only if it's tied to sampling distribution or drives retail foot traffic
"Amazon invited us to a promo" → Not a pillar. Not happening this year.
"Can we launch a loyalty program?" → Yes, if it ladders to owned retention infrastructure
"New SKU innovation idea" → Not until retail velocity proves the current lineup works
This is the constraint. The pillars become the filter for every decision. If it doesn't clearly serve one of them, it doesn't happen — even if it's a "good opportunity."
Why this works:
Creates a clear decision-making framework
Makes it easy to say no to shiny objects
Prevents resource dilution across too many initiatives
Keeps the team focused on what actually moves the objective
Tactics
Six newsletters in, we’re finally talking tactics — and here’s where they actually matter.
Good tactics are:
Time-bound
Owned by someone
Explicitly in service of a pillar
Measurable within 30–60 days
Example tactics under "Retail velocity & door expansion" pillar:
Q1: Redesign shelf presence and POS materials in top 20 doors to improve visibility (Owner: Sales Lead | Metric: 15% velocity lift in updated stores within 45 days)
Q1-Q2: Secure end-cap or featured placement in 5 key accounts (Owner: Trade Marketing | Metric: 30% sales lift during feature period, justifies broader rollout)
Q2: Run joint retailer promotion with top partner to prove co-marketing model (Owner: Brand Manager | Metric: 25K incremental units sold, 40% new-to-brand shoppers)
If tactics feel exciting but don't clearly move the goal, you've slipped back into motion over impact.
What this should change in your plan
OGS(P)T should change three things:
Decide what matters before you optimize.
Whether it's innovation, brand investment, retention, or expansion — define the role each bet plays in the growth model upfront. Lock in the pillars. Then when efficiency metrics start looking uncomfortable mid-year, you have a framework to ask: "Are we optimizing tactics, or abandoning strategy?"
Separate the metric from the intent.
Metrics should measure progress toward the objective — not become the objective themselves. When efficiency becomes the goal, strategy disappears. When CPMs become the reason to cut innovation, you've confused the measurement with the mission.
Use OGS(P)T as a living constraint, not a one-time agreement.
Scaling brands win when strategy is revisited quarterly — especially when new data tempts teams to undo the choices they aligned on. This isn't about rigidity. It's about forcing the question: "Has the diagnosis changed, or are we just uncomfortable with the numbers we expected?"
If your strategy can't survive its first optimization conversation, it wasn't a strategy. It was a wish.
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👉 Next in the series: In Part 7, I’ll break down Big Bets, Risks, and Opportunities.
👉 Want to pressure-test your 2026 strategy? I offer limited Growth Clarity sessions to help you sanity-check your business challenge and plan before you commit resources. [Book here]