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Micro-Course15 minBeginner

5 Reusable ChatGPT Prompts for Daily Work

Stop writing vague prompts that give you generic answers. These 5 battle-tested templates turn ChatGPT into a reliable work assistant for the tasks you do every single day — status updates, emails, meeting notes, data analysis, and research.

What you'll learn

5 prompts you'll actually use tomorrow

Each prompt includes the template, a real-world example with input, and the exact output you'll get. Copy, paste, customize, done.

01

The Status Update Generator

Communication

Prompt Template

You are a concise professional communicator. Write a status update for [AUDIENCE] about [PROJECT/TASK].

Include:
- What was completed this [week/sprint]
- What's in progress
- Any blockers or risks
- Next steps

Tone: [professional/casual/executive-level]
Format: Bullet points, under 150 words.

Example Input

Audience: Engineering manager
Project: Migration from PostgreSQL to CockroachDB
Tone: Professional
This week: Finished schema mapping for 12 of 18 tables. Hit a snag with JSONB column indexing — CockroachDB handles it differently. Started writing integration tests for the user_accounts table.

Example Output

**Status Update — CockroachDB Migration** **Completed:** - Schema mapping finished for 12/18 tables - Integration test suite started for user_accounts table **In Progress:** - Resolving JSONB column indexing differences (CockroachDB uses inverted indexes instead of GIN) - Continuing schema mapping for remaining 6 tables **Blockers:** - JSONB indexing approach needs architecture review — may affect query performance on analytics tables **Next Steps:** - Complete schema mapping by EOW - Schedule architecture review for JSONB indexing strategy - Expand integration tests to cover payment_transactions table
02

The Email Reply Drafter

Communication

Prompt Template

Draft a reply to this email. Match the sender's formality level unless I specify otherwise.

Original email:
"""
[PASTE EMAIL HERE]
"""

My key points to include:
- [POINT 1]
- [POINT 2]

Tone: [match sender / friendly / formal / direct]
Max length: [1 paragraph / 3 sentences / as needed]

Example Input

Original email:
"""
Hi there,
Hope you're doing well! Just wanted to follow up on the Q2 marketing budget proposal. The team is eager to get started on the social media campaigns, but we need your sign-off before we can move forward. Any chance you could review it this week?
Thanks!
Sarah
"""

My key points:
- I'll review it by Wednesday
- Ask her to highlight the top 3 priority items
Tone: Match sender
Max length: 1 paragraph

Example Output

Hi Sarah, Thanks for the nudge! I'll carve out time to review the Q2 budget proposal by Wednesday. To help me focus on what matters most, could you highlight the top 3 priority items or campaigns? That way I can give those the most attention and get you a faster sign-off. Talk soon!
03

The Meeting Summary Extractor

Productivity

Prompt Template

Summarize this meeting transcript into an actionable format.

Transcript / notes:
"""
[PASTE MEETING NOTES OR TRANSCRIPT]
"""

Output format:
1. **Meeting Summary** (2-3 sentences max)
2. **Key Decisions Made** (bullet list)
3. **Action Items** (who → what → by when)
4. **Open Questions** (unresolved items)

Example Input

Transcript:
"""
Product sync — April 2nd. Attendees: Maria (PM), Jake (Eng), Lisa (Design), Tom (QA).

Maria: Okay so the launch date for v2.1 is April 15th. Jake, where are we on the API changes?

Jake: The new endpoints are done. I still need to update the rate limiting logic. Should be done by end of this week.

Lisa: I finished the onboarding redesign mockups. I'll share the Figma link after this call. One thing — should we use the new illustration style or keep the current one?

Maria: Let's go with the new style. It matches the rebrand better.

Tom: I'll need 3 days for regression testing after Jake's changes are merged. Can we get a feature freeze by April 10th?

Jake: That's tight but doable if I prioritize rate limiting today.

Maria: Agreed. Feature freeze April 10th. Tom, start regression on the 11th.
"""

Example Output

**Meeting Summary** Product sync for v2.1 launching April 15th. API endpoints are complete, rate limiting is the last engineering blocker. Feature freeze set for April 10th to allow regression testing. **Key Decisions** - New illustration style approved for onboarding (aligns with rebrand) - Feature freeze: April 10th - Regression testing starts: April 11th **Action Items** - Jake → Complete rate limiting logic → by April 9th - Lisa → Share onboarding redesign Figma link → today - Tom → Begin regression testing → April 11th (3-day window) **Open Questions** - None — all items resolved in this meeting
04

The Data Analysis Request

Analysis

Prompt Template

Analyze this data and provide insights. Think step-by-step.

Data:
"""
[PASTE DATA — CSV, table, or description]
"""

Questions I want answered:
1. [SPECIFIC QUESTION]
2. [SPECIFIC QUESTION]

Output format:
- Key findings (top 3-5 insights)
- For each finding: the data point, why it matters, and a recommended action
- Any caveats or limitations with this analysis

Example Input

Data:
"""
Monthly website traffic (2024):
Jan: 12,400 visits, 3.2% conversion, $18,600 revenue
Feb: 11,800 visits, 3.1% conversion, $17,200 revenue
Mar: 15,200 visits, 3.8% conversion, $27,400 revenue
Apr: 14,900 visits, 2.9% conversion, $21,500 revenue
May: 16,100 visits, 4.1% conversion, $32,800 revenue
Jun: 13,200 visits, 3.0% conversion, $19,200 revenue
"""

Questions:
1. Which month performed best overall and why?
2. Is there a pattern between traffic and conversion rates?

Example Output

**Key Findings** **1. May was the top performer by every metric** - 16,100 visits (highest traffic), 4.1% conversion (highest rate), $32,800 revenue (highest) - Revenue per visit: $2.04 vs. average of $1.55 — 32% above average - **Action:** Investigate what drove May's performance (campaigns, content, seasonal factors) and replicate it **2. Traffic and conversion rate are NOT strongly correlated** - April had high traffic (14,900) but the lowest conversion rate (2.9%) - March had moderate traffic (15,200) but strong conversion (3.8%) - **Action:** Focus on traffic quality over quantity. High-converting months likely had better-qualified visitors **3. Revenue depends more on conversion rate than traffic volume** - March generated 60% more revenue than April despite similar traffic - A 1% conversion rate increase is worth roughly $5K-10K/month at current traffic levels - **Action:** Prioritize CRO (conversion rate optimization) over traffic acquisition **Caveats:** - 6 months is a small sample — seasonal patterns may not be visible - Revenue per conversion varies, suggesting different product mixes each month
05

The Quick Research Brief

Research

Prompt Template

Give me a concise research brief on [TOPIC].

Context: I need this for [PURPOSE — e.g., a presentation, a decision, a meeting].
Audience: [WHO WILL READ THIS]
Depth: [surface overview / working knowledge / deep dive]

Output format:
1. **TL;DR** (1-2 sentences)
2. **Key Facts** (5-7 bullet points)
3. **Pros & Cons** or **Arguments For & Against** (if applicable)
4. **Bottom Line** (my recommended takeaway or next step)

Cite specific numbers, dates, or sources where possible.

Example Input

Topic: Adopting a 4-day work week for a 50-person tech company
Context: Our CEO asked me to prepare a brief for the leadership team meeting
Audience: C-suite executives
Depth: Working knowledge

Example Output

**TL;DR** A 4-day work week can boost productivity and retention, but requires careful planning around client coverage and workload compression — most successful implementations use a 6-month pilot first. **Key Facts** - Microsoft Japan's 2019 trial saw a 40% productivity increase with Fridays off - UK's 2022 pilot (61 companies, ~2,900 employees): 92% continued after the trial; revenue rose 1.4% on average - Typical models: Mon–Thu (32 hrs) or alternating Fridays (36 hrs) - Most common failure point: customer-facing roles that need 5-day coverage - Buffer (tech, ~80 employees) made it permanent in 2020; reports higher employee satisfaction scores - Potential cost savings: reduced office utilities, commuting subsidies - Risk: compressed hours can increase stress if workload isn't adjusted **Pros** - Talent attraction and retention (major differentiator in hiring) - Measurable productivity gains in knowledge work - Lower burnout and absenteeism **Cons** - Client expectation management (especially with external stakeholders) - Not all roles adapt equally (support, ops may need rotation) - Cultural shift requires strong top-down commitment **Bottom Line** Run a 3-month pilot with one department first. Measure output (not hours), survey employee satisfaction bi-weekly, and track client response times. If metrics hold, expand company-wide. At 50 people, you're the ideal size to move fast on this.

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