hard-call

$npx mdskill add alirezarezvani/claude-skills/hard-call

**Command:** `/em:hard-call <decision>`

SKILL.md

.github/skills/hard-callView on GitHub ↗
---
name: "hard-call"
description: "/em:hard-call — Framework for decisions with no good options. Use when every option is painful and a structured 10/10/10 + regret-minimization pass is needed — e.g. choosing between a layoff and a down round, or killing a beloved product line."
---

# /em:hard-call — Framework for Decisions With No Good Options

**Command:** `/em:hard-call <decision>`

For the decisions that keep you up at 3am. Firing a co-founder. Laying off 20% of the team. Killing a product that customers love. Pivoting. Shutting down.

These decisions don't have a right answer. They have a less wrong answer. This framework helps you find it.

---

## Why These Decisions Are Hard

Not because the data is unclear. Often, the data is clear. They're hard because:

1. **Real people are affected** — someone loses a job, a relationship ends, a team is hurt
2. **You've been avoiding the decision** — which means the problem is already worse than it was
3. **Irreversibility** — unlike most business decisions, you can't undo this easily
4. **You have skin in the game** — your judgment about the right call is clouded by your feelings about it

The longer you avoid a hard call, the worse the situation usually gets. The company that needed a 10% cut 6 months ago now needs a 25% cut. The co-founder conversation that should have happened at month 4 is happening at month 14.

**Most hard decisions are late decisions.**

---

## The Framework

### Step 1: The Reversibility Test

The most important question first: **can you undo this?**

- **Reversible** — try it, learn, adjust (fire the vendor, kill the feature, change the strategy)
- **Partially reversible** — painful to undo but possible (restructure, change co-founder roles)
- **Irreversible** — cannot be undone (layoff a person, shut down a product with customer lock-in, close a legal entity)

For irreversible decisions, the bar for certainty is higher. You must do more due diligence before acting. Not because you might be wrong — but because you can't take it back.

**If you're treating a reversible decision like it's irreversible, you're avoiding it.**

### Step 2: The 10/10/10 Framework

Ask three questions about each option:

- **10 minutes from now**: How will you feel immediately after making this decision?
- **10 months from now**: What will the impact be? Will the problem be solved?
- **10 years from now**: When you look back, will this have been the right call?

The 10-minute feeling is usually the least reliable guide. The 10-year view usually clarifies what the right call actually is.

**Most hard decisions look obvious at 10 years. The question is whether you can tolerate the 10-minute pain.**

### Step 3: The Andy Grove Test

Andy Grove's test for strategic decisions: "If we got replaced tomorrow and a new CEO came in, what would they do?"

A fresh set of eyes, no emotional investment in the current path, no sunk cost. What's the obvious right call from the outside?

If the answer is clear to an outsider, the question becomes: why haven't you done it yet?

### Step 4: Stakeholder Impact Mapping

For each option, map who's affected and how:

| Stakeholder | Option A Impact | Option B Impact | Their reaction |
|-------------|----------------|----------------|----------------|
| Affected employees | | | |
| Remaining team | | | |
| Customers | | | |
| Investors | | | |
| You | | | |

This isn't about finding the option that hurts nobody — there isn't one. It's about understanding the full picture before you decide.

### Step 5: The Pre-Announcement Test

Before making the decision: write the announcement. The email to the team, the message to the customer, the conversation you'll have.

**If you can't write that announcement, you're not ready to make the decision.**

Writing it forces you to confront the reality of what you're doing. It also surfaces whether your reasoning holds under examination. "We're making this change because…" — does that sentence ring true?

### Step 6: The Communication Plan

Hard decisions almost always get harder if communication is bad. The decision itself is not the only thing that matters — how it's done matters enormously.

For every hard call, plan:
- **Who needs to know first** (the person directly affected, before anyone else)
- **How you'll tell them** (in person when possible, never via email for personal impact)
- **What you'll say** (honest, direct, compassionate — see `../executive-mentor/references/hard_things.md`)
- **What they can ask** (be ready for every question)
- **What comes next** (give them a clear picture of what happens after)

---

## Decision-Specific Frameworks

### Firing a Co-Founder
See `../executive-mentor/references/hard_things.md — Co-Founder Conflicts` for full framework.

Key questions to answer first:
- Is this a performance problem or a values/culture problem? (Different conversations)
- Have you been explicit — not hinted, but direct — about the problem?
- What does the cap table look like and what are the legal implications?
- Is there a role that works better for them, or is this a full exit?
- Who needs to know (board, team, investors) and in what order?

**The rule:** If you've been thinking about this for more than 3 months, you already know the answer. The question is when, not whether.

### Layoffs
Key questions:
- Is this a one-time reset or the beginning of a longer decline? (One reset is recoverable. Serial layoffs kill culture.)
- Are you cutting deep enough? (Insufficient layoffs are worse than no layoffs — two rounds destroys trust.)
- Who owns the announcement and is it direct and honest?
- What's the severance and is it fair?
- How do you prevent the best people from leaving after?

**The rule:** Cut once, cut deep, cut with dignity. Uncertainty is worse than clarity.

### Pivoting
Key questions:
- Is this a true pivot (new direction) or an optimization (same direction, different tactic)?
- What are you keeping and what are you abandoning?
- Do you have evidence the new direction works, or are you running from failure?
- How do you tell current customers who bought the old vision?
- What does this do to the board's confidence?

**The rule:** Pivots should be pulled by evidence of new opportunity, not pushed by failure of the current path.

### Killing a Product Line
Key questions:
- What happens to customers currently using it?
- What's the migration path?
- What do the people who built it do?
- Is "kill it" the right call or is "sell it" or "spin it out" better?
- What's the narrative — internally and externally?

---

## The Avoiding-It Test

You know you've been avoiding a hard call if:
- You've thought about it every week for more than a month
- You're hoping the situation will "resolve itself"
- You're waiting for more data that you'll never feel is enough
- You've had the conversation in your head many times but not in real life
- Other people around you have noticed the problem

**The cost of delay is almost always higher than the cost of the decision.**

Every month you wait, the problem compounds. The co-founder who's not working out becomes more entrenched. The product line that needs to die consumes more resources. The person who needs to be let go affects the people around them.

Make the call. Make it clearly. Make it with dignity.

More from alirezarezvani/claude-skills

SkillDescription
a11y-auditAccessibility audit skill for scanning, fixing, and verifying WCAG 2.2 Level A and AA compliance across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases. Use when auditing accessibility, fixing a11y violations, checking color contrast, generating compliance reports, or integrating accessibility checks into CI/CD pipelines.
ab-test-setupWhen the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.
ad-creativeWhen the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.
adversarial-reviewerAdversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer.
aeoAnswer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
agent-designerUse when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).
agent-protocolInter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with multiple agent roles.
agent-workflow-designerDesign production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls. Use when architecting a multi-step agent pipeline, choosing between single-agent vs multi-agent approaches, or refactoring an LLM workflow that suffers from context bloat or unreliable handoffs.
agenthubMulti-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.
agile-product-ownerAgile product ownership for backlog management and sprint execution. Covers user story writing, acceptance criteria, sprint planning, and velocity tracking. Use when writing user stories, creating acceptance criteria, planning sprints, estimating story points, breaking down epics, or prioritizing the backlog.