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POCO Steering OS

A Product Intelligence OS for PMs/POs that makes roadmap decisions realistic. Deterministic prioritization + AI-adjusted capacity + Scrum-aligned guardrails, with explicit tradeoffs and pushback.

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The Problem

Stakeholders ask for everything. Teams can build some things. Somehow the roadmap is always "urgent," the sprint is always "committed," and everyone is surprised when reality happens.

Most product tools are great at collecting requests and drawing roadmaps. They fail at the part that actually matters:

  • Turning fuzzy requests into something buildable
  • Forcing tradeoffs when priorities change
  • Protecting capacity from magical thinking
  • Making "no" (or "not now") defensible

Why roadmaps fail predictably

Feature intake is incomplete

Missing Definition of Ready, dependencies, constraints, acceptance criteria. Everyone wants estimates anyway.

Prioritization is hand-wavy

"High impact" is not a number. "CEO wants it" is not a strategy. But it is a variable.

Capacity is ignored until it hurts

Teams "commit" before decomposing work. Then the sprint becomes an apology tour.

Pushback is personal and inconsistent

One PM protects scope. Another folds. Outcomes vary based on mood, politics, and calendar.

What I Built

POCO is a lightweight system that turns chaotic feature requests into traceable, capacity-aware decisions.

Core modules:

  • Context setup: company stage, stakeholder pressure, team skills/seniority, AI usage policy
  • Structured feature intake: problem, impacted users, urgency, consequences, required skills, impact/urgency/risk scoring
  • Deterministic prioritization engine: transparent score breakdown → Now / Next / Later
  • Feasibility gate: Definition of Ready + owner assignment + capacity fit → Feasible / Risky / Not Realistic
  • Pushback system: moving something up forces something else down, with explicit warnings
  • Feature → tasks decomposition: tasks assigned to devs and non-dev stakeholders (docs/specs/approvals)
  • Decision log: captures accept/edit/reject with before/after and rationale
  • Exports: Markdown feature briefs for sharing and alignment

Key Design Decision: Deterministic First, AI Second

If you let an LLM "handle prioritization" from the start, it will confidently produce nonsense that sounds plausible. That's the most dangerous output type in product.

So POCO runs in layers:

Stage 1: Deterministic guardrails (hard truth)

  • Enforces Definition of Ready checks
  • Validates dependencies and required inputs
  • Applies explicit scoring rules (impact, urgency, risk, stakeholder pressure)
  • Rejects "priority changes" that ignore capacity

Stage 2: AI assist (soft intelligence)

  • Suggests missing questions (pushback prompts)
  • Recommends task breakdowns from feature objects
  • Estimates risk drivers and delivery traps
  • Writes clean, shareable briefs and decision summaries

AI does not "decide." AI supports decisions that are already constrained by reality.

Constraint and Tradeoff

Constraint: Estimation is fake unless work is decomposed

Teams love estimating features. Features are too big, too vague, and too political. POCO treats features as containers and pushes toward tasks (small, assignable, estimable units) and mixed ownership: dev tasks + stakeholder tasks (specs, approvals, data access).

Tradeoff: POCO adds friction upfront

Fewer dead-on-arrival sprints. Fewer "we're blocked" surprises.

What Makes It Different

Most PM tooling is optimized for documentation and presentation. POCO is optimized for steering:

  • Explicit tradeoffs when priorities shift
  • Pushback as a system, not a personality trait
  • Capacity-aware roadmaps without pretending dates are guaranteed
  • Decision traceability so you can justify why something is not happening

In short: it's a tool that helps you stop being the human shock absorber between stakeholders and physics.

How It Works (User Flow)

1

Create workspace context

Stakeholders + pressure, team members + skills, constraints

2

Add feature request via structured intake

Problem, user impact, urgency, consequences, risks, required skills

3

System scores + gates feasibility

Score breakdown + feasibility verdict

4

AI generates pushback questions + task breakdown

Converts fuzzy requests into concrete action items

5

Roadmap updates with forced tradeoffs

Move up → something else must move down

6

Decision logged + brief exported

Shareable artifacts for alignment and accountability

Tech Stack (Typical for My Builds)

Frontend
Next.jsTypeScriptTailwind
Components
shadcn/ui
AI Integration
LLM API
Analytics
PostHog / GA

What This Connects To

POCO is designed to plug into real delivery workflows:

  • Exports to Markdown for PRDs / tickets
  • Task objects map cleanly into ClickUp/Jira-style execution
  • Decision logs create a lightweight governance layer for stakeholder alignment

It's basically the missing middle between "idea intake" and "sprint pain."

If you're a PM/PO stuck in scope creep hell: POCO is built to make "not realistic" a normal, defensible output.