🎮 The Next Input — Issue #123

In partnership with

⚡ The Briefing — 60 sec

• Satya Nadella insists people are using Microsoft’s Copilot AI “a lot”
  Yes Satya, we hear you. But no—we don’t believe you. Adoption-by-slide-deck doesn’t count.

• Is the AI bubble bursting—or reversing?
  Outstanding read. Long, thoughtful, and worth your time. Put the kettle on and actually enjoy this one.

• Meta says AI will let one employee do the work of many
  Funny how CEOs always frame this as replacing you—never themselves. Curious, that.

🛠️ The Playbook — The Real Adoption Reality Check

Mission Measure actual AI usage and impact inside your org—beyond exec claims and vanity metrics.
Difficulty Medium
Build time 2–3 hours
ROI Cuts through false adoption narratives and shows where AI genuinely earns its keep.

0) Why This Matters

Every AI rollout eventually hits the same wall: leadership says it’s “widely adopted,” teams quietly ignore it, and no one wants to be the first to say it’s not working.

The danger isn’t the tech—it’s believing your own press releases.
This playbook forces a reality check before strategy drifts too far from truth.

1) Architecture

2) Workflow

1. Capture raw usage: Pull logs showing what people actually do with AI tools—not licenses assigned.

2. Map to tasks: Tie usage to concrete workflows (emails drafted, tickets closed, reports summarised).

3. Analyse impact: GPT-5-mini evaluates whether usage correlates with time saved or output improved.

4. Human check: Anonymous pulse survey asks one thing: “Would your week be worse without this?”

5. Reality gate:

   • High usage + high impact → double down.

   • High usage + low impact → redesign.

   • Low usage + high potential → unblock.

   • Low usage + low impact → kill.

6. Publish truth: Share results internally—even when they’re uncomfortable.

3) Example Prompts

Impact Analysis (GPT-5-mini)

Given usage data and task outcomes,
identify:
- where AI saves time
- where it adds friction
- where impact is overstated
Be blunt.

Eval Prompt (Claude 4.5 Haiku)

Evaluate this adoption report for:
- vanity metrics
- missing baselines
- unsupported claims
Return PASS / FLAG with fixes.

4) Guardrails

• No adoption claims without baseline comparison.

• Licenses ≠ usage ≠ impact—treat separately.

• Anonymous feedback only for sentiment.

• Leadership commentary must reference data.

5) Pilot Rollout — 3 hours

1. Pick one AI tool under scrutiny (Copilot, internal agent, etc.).

2. Pull 30 days of usage data.

3. Map to 3 real workflows.

4. Run impact analysis.

5. Survey affected teams anonymously.

6. Present findings unfiltered.

6) Metrics

• Active users vs licensed users

• Tasks completed with AI vs without

• Time saved per task (baseline → current)

• “Would miss it” score (%)

• Tools retired (yes, that’s a win)

Pro Tip: If adoption needs defending, it probably isn’t real yet.

🎯 The Arsenal — Tools & Platforms

• Amplitude · Track real feature usage, not assumptions · https://amplitude.com

• Notion · Map tools to actual workflows and outcomes · https://notion.so

• GPT-5-mini · Fast, honest impact analysis · https://openai.com

• Typeform · Anonymous pulse surveys that people actually answer · https://www.typeform.com

Copy-paste prompt block:

Assess AI adoption honestly.
Ignore hype.
Tie usage to outcomes.
If value isn’t proven, say so.

💡 Free Office Hours

Want help implementing anything? Book a free 15-minute Office Hours slot—no sales pitch, just workflows solved.

→ https://calendly.com/aaron-cylentis/the-next-input-office-hours

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🕹️ Game Over

AI doesn’t fail quietly—people do.

— Aaron Automating the boring. Amplifying the brilliant.

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