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@35ffd55
by shingo imotasimota/agent-skills85 stars
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Proposing new features leveraging existing data/logic as Markdown specifications. Use when brainstorming new features, product planning, or feature proposals are needed. Does not write code.

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

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referenceoutcome-roadmapping-alignment.md

≈686 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Outcome Roadmapping And Alignment

Purpose: align Spark proposals with outcomes, roadmap confidence, stakeholder roles, and staged validation.

Contents

  • Roadmap types
  • NOW/NEXT/LATER rules
  • DACI and product trio
  • North Star alignment
  • Ship-to-validate stages

Roadmap Types

Type Focus Benefit Risk
Feature Roadmap what ships and when concrete and execution-friendly rigid
Theme-Based Roadmap focus areas good storytelling can blur priority
Outcome Roadmap what result to improve flexible and strategic may feel abstract

Spark default:

  • record the target outcome in every proposal
  • use Theme plus Outcome when comparing multiple proposals
  • leave feature-level delivery sequencing to Sherpa or Builder

NOW / NEXT / LATER

Classify proposals by confidence, not by calendar alone.

Bucket Confidence Spark rule
NOW high RICE >= 100 and hypothesis already validated
NEXT medium RICE 50-100 or currently under validation
LATER low idea stage, low confidence, or exploration only

## Roadmap Position

Required fields:

  • Position (NOW | NEXT | LATER)
  • Related OKR
  • Promotion Criteria

DACI And Product Trio

## Decision Framework (DACI)

Required fields:

  • Driver
  • Approver
  • Contributors
  • Informed

Product trio mapping:

  • PM viewpoint -> Spark
  • Design viewpoint -> Echo or Palette
  • Engineering viewpoint -> Scout or Lens

Use trio review when the proposal changes product behavior materially.

North Star Alignment

Avoid:

  • vanity metrics as the North Star
  • setting the metric without operationalizing it
  • keeping the same metric despite market change

Leading vs lagging mix:

Type Role Examples Ratio
Leading predicts future movement adoption, engagement 60%
Lagging confirms business result revenue, churn 40%

## North Star Alignment

Required fields:

  • North Star Metric
  • Contribution
  • Leading Indicator
  • Lagging Indicator

Ship To Validate

Use staged validation rather than betting everything on full release.

## Validation Strategy

Phase 1: Pre-build (1-3 days)
  • Fake Door Test
  • user interviews
Phase 2: Prototype (1 week)
  • Wizard of Oz or Forge prototype
  • persona validation with Echo
Phase 3: Limited Release
  • feature-flagged release to a small segment
  • track leading indicators for ___ days
  • define kill criteria and rollback trigger
Phase 4: Full Release
  • confirm guardrail metrics
  • begin lagging-indicator tracking

Rule:

  • validation-first shipping is preferred when uncertainty is material

Source: SKILL.md on GitHub

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Signed by skilld at 35ffd55. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 days ago.

Activeupdated 2 weeks ago

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