PAAF Role Card: Team Members (Generalist)
- Staff
- 3 days ago
- 4 min read
Purpose: Empower team members in any function to explore, understand, and begin using Ai with low effort and high impact. This roadmap helps individuals build confidence, integrate Ai responsibly, and discover new ways to boost productivity without needing technical knowledge or formal approval.
1. Familiarize
Objective: Build curiosity and reduce fear by showing where Ai is already helpful.
Steps
Spot where Ai appears in tools you already use (e.g., Jira issue summaries, Confluence answers).
Try autocomplete and quick summaries to see Ai’s subtle benefits.
Join team activities like “Spot the Ai” Bingo or live demos.
Read the Ai Infographic or view the AI Touchpoint Map.
Pro Tips:
Pair up with a teammate who's used Ai and ask what they find most helpful.
Play “Spot the Ai” during your next meeting or standup.
Troubleshooting
“I didn’t even know it was there.” → Start with small AI hints in familiar places.
“I’m not sure this applies to my role.” → Ask Ai where it might help (see below).
Best Practices
Keep it light: share Ai wins in chat channels or huddles.
Celebrate discoveries with emojis or shout-outs in meetings.
2. Learn
Objective: Build confidence through understanding of Ai’s functions and capabilities.
Steps
Learn what Ai is doing “under the hood” (e.g., summarizing content, linking pages).
Read plain-language explainers on terms like prompts, models, bias.
Try the “Explain AI Like a 5th Grader” game with a peer.
Complete a microlearning or AI Literacy Self-Assessment.
Pro Tips:
Think of Ai as a helpful intern: not always perfect, but fast and helpful when guided.
Ask Ai, “What can you help with in [Product]?”
Troubleshooting
“It’s too technical.” → Use real examples from your own Jira or docs instead of theory.
“I’m not a tech person.” → That’s okay—this is about learning how to ask, not code.
Best Practices
Schedule a 15-minute AI learning block once a week.
Ask a teammate to quiz you on one new term or tool.
3. Evaluate
Objective: Find easy, valuable ways to use Ai to save time or improve your work.
Steps
List out repetitive or annoying tasks in your week (e.g., writing summaries, digging for info).
Use the AI Fit Matrix to see which ones are great for Ai.
Prioritize tasks that are low risk but high reward.
Test your top 1–2 ideas this week.
Pro Tips:
Ask yourself: Would I trust someone new on my team to do this? That’s a good AI candidate.
Use the Red Flag Indicators to rule out complex or sensitive tasks.
Troubleshooting
“Everything seems like a use case—or nothing does.” → Pick just one to try.
“I don’t know where to start.” → Ask your manager or try Ai’s in-app suggestion tool.
Best Practices
Document your top ideas in a shared or personal use case tracker.
Focus first on tasks that you own, not ones that require team buy-in.
4. Experiment | Practice
Objective: Safely test Ai in your workflow and improve your results.
Steps
Try using Ai to summarize, rephrase, or draft something you’re working on.
Log what worked (and what didn’t) in your Prompt Practice Log.
Try adjusting your prompts with more detail or tone direction.
Share 1–2 results with a peer for feedback.
Pro Tips:
Start with a real task—e.g., “Summarize this meeting note in 3 bullets.”
Keep a sticky note with your 2 favorite prompts for the week.
Troubleshooting
“It didn’t do what I wanted.” → Try rewording like you’re coaching a new teammate.
“It was too generic.” → Add more context (e.g., “Make this sound confident but brief”).
Best Practices
Treat it like practice, not perfection. You’re learning what you need from AI.
Run a “prompt feedback circle” with a peer once a month.
5. Protect
Objective: Think critically about what AI gets right—and what it might miss.
Steps
After using Ai, ask: Was this accurate? Would I send this out as-is?
Track any risks you notice (bias, missing info, wrong tone).
Use “Pause & Probe” questions to build your AI awareness muscle.
Share lessons learned with your team or in a retro.
Pro Tips:
Treat Ai like a co-author: review everything before using it.
Use the Ai Risk Rating to flag any output that seems “off.”
Troubleshooting
“I’m not sure what counts as risky.” → Use the Red Flag Quick Reference.
“It seemed fine but felt wrong.” → Trust your gut—then reflect on why.
Best Practices
Keep a “What surprised me?” journal for AI interactions.
Add a short AI reflection prompt in project reviews or weekly check-ins.
6. Integrate in Work
Objective: Build consistent habits using Ai in your daily work.
Steps
Use Ai to support a weekly task (e.g., meeting summary, email draft).
Create your own Prompt Library for tasks you repeat.
Track your use in a Weekly Integration Log and note what saves you time.
Pro Tips:
Set a recurring 10-min “Prompt Power-Up” session to refine your top prompts.
Ask Ai to rewrite or recap before sharing long docs with others.
Troubleshooting
“I keep forgetting to use it.” → Add it to your calendar or task list.
“It’s not saving me time yet.” → Refine your prompt until it is.
Best Practices
Pair up with someone else learning Ai and share your wins weekly.
Showcase a “Prompt of the Month” in your team Slack or standup.
7. Share | Grow
Objective: Help others adopt AI effectively while continuing to grow your own confidence.
Steps
Share one successful prompt or learning with your team each week.
Offer to buddy up with a peer who’s just starting out.
Join or start a Community of Practice on your team or org.
Pro Tips:
Use the Peer Coaching Guide to structure informal mentoring sessions.
Share wins with a screenshot or “before/after” example.
Troubleshooting
“I don’t feel like an expert yet.” → You don’t need to be—just share what helped you.
“Nobody else is talking about it.” → Start the conversation with a small tip.
Best Practices
Document your favorite prompts and lessons in a shared Prompt Library.
Advocate for team reflection moments during retros or planning sessions.
Commentaires