Write a specific SBI thank-you to one colleague every day for two weeks.

Action you repeat 20x daily — turn into meditation in 30 sec.

Deliver effective feedback in 3 parts (Situation—Behavior—Impact) so the other person hears you without defensiveness.

Phrase every feedback in 3 sentences: situation, specific behavior, impact — no interpretation.

Every Friday, write 3 feedbacks (positive + constructive) for 3 people and deliver by Monday.

Prep your 1-on-1 with SBI + GROW: situation, behavior, impact, then open GROW questions.

Deliver specific SBI feedback to a peer within 48 hours of the event.

Convert mutual critique into a two-way SBI meeting with 5-whys for root cause.

Convert your daily meeting to 15 minutes standing, three questions per person, then dismiss.

After any delegated task completes, deliver feedback in Situation-Behavior-Impact format.

Define 3 tasks before opening any app — this is what success looks like today.

Every two weeks, each member gives one peer specific feedback in a fixed format — no waiting for the annual review.

Frame feedback in 3 sentences: Situation, Behavior, Impact — strips bias, refocuses on behavior.

Teams with high psychological safety perform 4x better. This exercise measures and raises it in your team.

A small "innocent" comment wounds an employee. Your job as leader: interrupt immediately, respectfully, without trial.

Review your team's last 20 decisions (promotion, project, leave). Who gained? Who lost? Pattern reveals bias.

Your small leader words exclude or include. 10 simple swaps shift your team's culture in 60 days.

When joining a new manager (or they join you), give them YOUR user manual. How you work best? What annoys? What you need?

Every Friday, send manager 5-sentence memo: done, stuck, need. Saves them hours of meetings.

When you need to influence your manager, don't tell them the solution. Ask a question leading them. Their ownership > yours.

Manager crossed a line or made an error affecting you. DESC: Describe, Express, Specify, Consequence. Each in a sentence.

You decided to leave. The last 30 days define your reputation for 10 years. This frame protects bridges.

Write a speech or message declaring your commitment to a fail-safe environment.

Practice refusing an unethical request clearly and respectfully — before you must in reality.

When you wrong your child, fully apologize: what you did, its impact, the change.

Write a prompt that gives the AI model precise context, role, task, and expected format.

Assign the model a specific background and expertise so its answer matches a real expert level.

Show the model 2-5 examples of the desired output style so it mirrors the pattern with high precision.

Ask the model to decompose the problem and show its reasoning before answering, raising accuracy on complex tasks.

Ask the model to write a numbered plan first and wait for your approval before executing.

State explicitly what you do not want in the output (words, styles, assumptions) to cut later editing.

Request output as JSON with a defined schema to enable automated processing without manual parsing.

After the model answers, ask it to critique its own answer and improve it before final delivery.

Ask the model to explain a complex idea to a 5-year-old, then raise the level gradually.

Learn 4 signals that reveal the model invented info instead of citing documented fact.

Do not use AI-sourced info before verifying it in two independent external sources.

The model does not know what happened after its training cutoff. Know each model's cutoff.

RAG (Retrieval-Augmented Generation) fetches real docs for the model before answering. Know the difference.

Use an LLM to draft an email in 30 seconds, then edit by hand for personal tone.

Convert a meeting transcript (60+ min) into decisions and action items in 2 minutes.

Don't pick the first title that comes to mind. Generate 10 with varied angles, then choose the best.

Ask the model to question you instead of answering, surfacing and deepening your understanding.

When an LLM helps you with content you publish or send, disclose it clearly.

Add "think step-by-step inside <thinking> tags before answering" — boosts complex-problem accuracy 30-40%.

In few-shot, deliberate variety (positive/negative/edge case) matters more than count.

Have the model play expert + student who asks "dumb" questions — extracts tacit knowledge.

"Max 80 words, don't use 'innovative', start with imperative" beats "make it short and clear".

Instead of rewriting the prompt, say "this part good. this part fix to X". 4 rounds = perfect output.

After each output, ask: "What are 3 weaknesses in this answer? How to improve?" — use its intelligence against itself.

Don't repeat instructions every message — set them once in System Prompt, save 70% writing time.

Don't know how to ask? Ask: "What's the best prompt to get X?" — it writes a prompt better than any expert.

Before accepting any AI answer, ask: source? dates correct? names real?

Every AI claim: search 3 independent sources. If absent from any, treat as hallucinated.

Use AI for a bad-fast initial draft, then YOU rewrite completely. Blank page is the killer.

After YOU write, ask AI for 3 improvements only. Don't let it "rephrase".

Identify 5 phrases/words that are "you". Ensure 2+ appear in any AI-assisted text.

"AI text didn't copy anyone" is myth. Ensure you don't publish someone's idea/sentence unattributed.

Every AI claim needs a live source. Never cite a source you haven't read.

Give the model 2-3 complete input-output examples before your ask, instead of explaining the rule verbally.

Ask the model to "think out loud" step by step before the final answer, especially for logic and math problems.