← Course overview · From a moment of care to first real feedback

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Care / 00—02 minutes

What would you like to take one more step towards?

First, think of something you care about, then use this case to find a way forward.

Care and self-awareness, leading to one actionReview recent experiences, choose scenarios that matter to you, and take small steps using existing strengths. Reflection is optional and not a personality judgment.What I care aboutA person or a specificsituationWhat I have alreadydoneOne experience and aclue to a strengthNext step: something you can start in20 minutesYou do not need to choose a life direction firstUse one action to keep learning about yourself01 / AHALab × ZimaBlueAI · Teaching example, not user statistics
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Spend 30 seconds thinking of a small thing you have done well, then write down one situation you are willing to spend 20 minutes exploring.
Open the teaching points
  • People around you, your school, the environment, your interests, or any life you notice can be a starting point.
  • It is okay if you are not interested in this app. Just leave with one small step you are willing to take.

Notes for the speaker

You are not required to share family stories or psychological results. Take quiet time to write first; sharing in the session is voluntary. If you are self-studying, you can skip the self-reflection and choose a situation directly.

AHALab × ZimaBlueAI · aha-lab.ai

Limits of the case / 02—05 minutes

A project that is still finding its way

The course for older adults has not started yet; the app invited a small number of users to try it first.

What has happened and what needs checking, seen separatelyCourse design is ready, but formal teaching has not started. The app is in beta with limited trials. Market and long-term effects are unverified.Course designExisting topics andmethodsFormal teaching: not yetstartedApp beta testingA testable version isavailableLimited trials and feedbackStill to be verifiedLong-term use and valueMarket, payment, andimpact02 / AHALab × ZimaBlueAI · Teaching illustration, not user statistics
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Which of these states have already happened, and which are still to be verified?
Open the teaching points
  • The course is designed, but it cannot yet be counted as a result that happened in a classroom.
  • Someone being willing to try does not mean a market has been found.
  • Case studies are closed-source; today we share the process, choices, and methods.

Notes for the speaker

Use only anonymous summaries. Do not share private experiences or post in group chats. First, help students understand that the case is not a success story.

AHALab × ZimaBlueAI · aha-lab.ai

How it began / 05—08 minutes

Make room for conversation at a person’s own pace

You can start with a broad direction, then find one specific small thing to try.

A big concern, narrowed into one experience you can trySilver-life design and existing voice features merge into a minimal experience. Chatting, retention, and sharing each require respecting user choice.Designing life forolder adultsFrom communication andexpressionExisting voiceaccumulationUsing experience andready-made toolsOne minimal experienceQuestion → Tell → Pause → StayWilling to chat ≠ willing to share03 / AHALab × ZimaBlueAI · Teaching example, not user statistics
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Is “willing to chat” the same as “willing to show family”?
Open the teaching points
  • Concern: How can we create one more place where people feel ready to speak?
  • Need hypothesis: You can speak without writing an article first, and you decide when to pause or share.
  • Step 1: Ask—Answer—Pause—Keep a record.

Notes for the speaker

The answer is no. Older people and their families may have different expectations, so ask each separately. Do not portray all older people as lacking company.

AHALab × ZimaBlueAI · aha-lab.ai

From a problem to a need / 08—11 minutes

Separate the complaint, the need and the feature

Starting with first principles: Separate goals, facts, constraints, and assumptions.

Problem, need, and solution are three layersTurn observable phenomena into expected changes to verify, then compare different solutions.ProblemNot used to typing forlong periodsNeed hypothesisWhen you want to speak,you can start right awaySolution optionsVoice / Human / PapercardsFor the same need, you can try several methods first.04 / AHALab × ZimaBlueAI · Teaching example, not user statistics
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Can “make an app” be the need directly?
Open the teaching points
  • Observation: Some people are not used to typing for long periods; you still need to ask about specific people.
  • Need hypothesis: When you want to speak, you do not need to organize it into an article first, while keeping consent and data boundaries.
  • Question “must make an app”: Paper cards, human interviews, and voice can be tried first.

Notes for the speaker

Within the original 3 minutes, practice breaking down assumptions once; do not start a separate concept lecture. “Expression autonomy” is a value choice, not a physical law. Check if the solution truly serves the need; experience is useful, but facts must be verified. See the Self-discipline and First Principles page.

AHALab × ZimaBlueAI · aha-lab.ai

Activity 1 / 11—16 minutes

Turn what you noticed into a question you can test

Who × Situation × Barrier × Desired change.

Put guesses where they can be questionedA needs statement includes the target, scenario, obstacle, and expected change. Distinguish facts from guesses item by item, then look for counter-evidence.WhoPeople involvedWhenSpecific situationWhat gets inthe wayDifficulties withcurrentapproachesWhat is hopedforObservablechangesObserved: ________ Still guessing: ________What evidence would make me change this hypothesis?05 / AHALab × ZimaBlueAI · Teaching example, not user statistics
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Spend about 5 minutes writing Action Card A. You do not need to prove the need is real right now.
Open the teaching points
  • Write the phenomenon first, then turn it into one need statement.
  • Circle one guess and write down evidence that might disprove it.
  • When studying alone, check your work using the prompts. If you have a voluntary partner, you can also review each other’s work.

Notes for the speaker

When self-studying, write first and then look at the prompts. In meetings, allow quiet time for writing and voluntary sharing. The alternative teaching scenario is fictional: forgetting to return borrowed items. Do not treat this exercise as real user needs.

AHALab × ZimaBlueAI · aha-lab.ai

Guiding choices / 16—19 minutes

What you protect shapes the choices you make

When sharing layouts are very appealing, why do you still want to start with a slow chat?

The product core is the center of trade-offsPrioritize core connections for slow chat; defer others. This is a value choice that can be revised with new evidence.Protect firstPace of expressionYour choice to shareExpression in themomentTake your timeWhat to pauseAdd a demo flowWait for feedbackbefore decidingPrinciple → One choice → Allow evidence to revise06 / AHALab × ZimaBlueAI · Teaching example, not user statistics
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What do you protect, and what do you do first or pause?
Open the teaching points
  • Protect: current expression, your own pace, and sharing choices.
  • Pause for now: adding a complex flow just for a quick demo.
  • This is the current choice; you can reconsider if new evidence appears.

Notes for the speaker

You can choose to prioritize expression pace while development validation continues quickly. The book feature already exists, and the output route is still being considered. Do not infer from this choice that sharing itself is harmful.

AHALab × ZimaBlueAI · aha-lab.ai

Drawing on experience / 19—22 minutes

Build on what you already know

Apply experience, resources, and tools to the task at hand.

Accumulation is a network you can call onConnect experience, people, resources, and tools to the current task. Fill gaps by finding sources, testing, and updating.ExperienceVoice features alreadyusedPeoplePartners willing to helpResourcesVerifiable documentsToolsAI and ready-madecomponentsCurrent taskWhat is missing?07 / AHALab × ZimaBlueAI · Teaching example, not user statistics
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List two resources you already have, and one piece of information you still need.
Open the teaching points
  • Existing voice skills, practical experience, and personal strengths can all connect to the current task.
  • AI can suggest solutions, write prototypes, and help find errors.
  • Information gaps still require finding sources, testing personally, and reporting results.

Notes for the speaker

The case was built quickly, supported by past accumulation. Self-learners list their available resources and gaps, then plan the next test. There is no requirement to contact an expert immediately.

AHALab × ZimaBlueAI · aha-lab.ai

Building with AI / 22—26 minutes

You can start before you know platform programming

First, clarify what this session covers and how to check it when done.

AI delivers; human verification continues the processDelegation includes task boundaries and acceptance criteria. AI provides candidate implementations; humans verify on devices and revise based on evidence.Human: CommissionTask / Boundaries /VerificationAI: CandidatesStatus / Implementation /TestingHuman: Real-worldtestingCompare expected vs.actual resultsUse failure evidence to narrow the next fix.08 / AHALab × ZimaBlueAI · Teaching example, not user statistics
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When AI says “done,” which step must you do yourself?
Open the teaching points
  • Tell AI: goals, known facts, real constraints, hypotheses to test, and verification criteria.
  • Ask AI to list status, unknowns, and testing methods before providing implementation.
  • Use synthetic content to complete one start–pause–save cycle yourself.

Notes for the speaker

Check the teaching prompts in the AI and tool pages. You can draw a state diagram first; you do not need to finish the entire App on the spot. Remember to cover permissions, APIs, data, and delivery. You are responsible for verification.

AHALab × ZimaBlueAI · aha-lab.ai

Meeting difficulties / 26—29 minutes

Progress comes from trying it again

After it runs, there are still choices for playback, permissions, returning, and recording.

Put key choices where they belongTeaching status diagram: announce the problem first, preview camera before confirming recording, and always provide a back button on reading pages.You can hear itShow the question→ Read aloud / ListenagainYou choose to recordCamera preview→ Start recording after youconfirmYou can go backOpen the reading→ There is a clear way backIt works, but check if users can keep going easily.09 / AHALab × ZimaBlueAI · Teaching example, not user statistics
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How does one small snag change whether users want to continue?
Open the teaching points
  • Users hear the question first, instead of facing a blank screen.
  • Open the camera for a preview first, then confirm before recording.
  • After opening the reading page, make sure there is a way back.

Synthetic test chat interface, not real user records
Synthetic test interface, AI interviewer illustration; not an older person or a real user, interface kept in Chinese.
Notes for the speaker

This is a process summary. It does not claim one prompt solves all problems. Each step states only expected vs. actual results, without guessing unverified causes.

AHALab × ZimaBlueAI · aha-lab.ai

Activity 2 / 29—33 minutes

AI says it is fixed. The phone is still silent.

Known → Unknown → Minimal check → Single change → Re-test.

From “no sound” to testable hypothesesNot hearing sound is a phenomenon. Device volume, playback triggers, and server responses are only candidate causes. Perform minimal checks each time.Observation: Nosound heardDevice status?Check media volumePlay triggered?Play the synthesized textaloneError returned?Check the anonymizationstatus and errorsThese are all hypotheses to check. Check first, then decide what to change.10 / AHALab × ZimaBlueAI · Teaching example, not user statistics
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Task Card B: What is your next check?
Open the teaching points
  • Write down the expected and actual results, not just “it doesn’t work.”
  • Give a testable hypothesis, then design one minimal check.
  • Keep evidence of failure; do not change everything at once.

Notes for the speaker

Write down what you know, what you don’t know, and the minimal check, then open the self-check prompts. In meetings, you can share anonymous synthetic examples. Volume, triggers, and service errors are all hypotheses to check.

AHALab × ZimaBlueAI · aha-lab.ai

Safety and responsibility / 33—37 minutes

A usable prototype still comes with responsibilities

Someone is responsible for records, authorization, and call costs.

Three types of responsibility, checked separatelySimplified responsibility diagram, not an actual deployment map. Check save/restore, cloud processing boundaries, and authorization limits separately. Personal keys do not replace data isolation.Records: saving, exporting, and restoringWho can access it? Is there consent? Can the backup be restored?Cloud processing: send only what the task needsWhen do audio and text leave the device? What data does the service receive?Authorization: personal Key, quota, and costsAuthorization control ≠ data isolation; built-in sensitive settings may still be extracted11 / AHALab × ZimaBlueAI · Teaching example, not user statistics
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What data would you reduce first, and what permissions would you limit?
Open the teaching points
  • Run through it with synthetic data: where is it saved, who can access it, and can it be restored?
  • A personal Key is for authorization and quota; data isolation needs separate controls.
  • The client still has risks of sensitive settings being extracted. Keeping the source code closed does not guarantee safety.

Notes for the speaker

The beta has remaining risks. We do not present it as a production-ready solution. We only describe a simplified data flow. We do not show configurations, allocation pools, or keys. University groups may add cost limits. We do not describe attack steps.

AHALab × ZimaBlueAI · aha-lab.ai

A small trial / 37—40 minutes

Sending the installer is only part of delivery

Invite → Install → Complete a small task → Follow up.

Delivery is a path; the installer is just one stopInvitation, installation, completing one task, and follow-up gradually add evidence. Do not use fictional conversion rates.Willing to tryAttitude signalCan installDelivery signalCan completeOne actionFollow upagainUsage andrevision signalsNo conversion rate; every step needs real observation.12 / AHALab × ZimaBlueAI · Teaching example, not user statistics
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What should we observe in the first trial, instead of just asking “Is it easy to use?”
Open the teaching points
  • Willingness to try is an attitude signal.
  • The install file and entry point may be the first barrier.
  • Ask the person to complete only one voluntary small task at a time.

Notes for the speaker

The classroom does not distribute closed-source apps. Use an anonymous text summary as a demo. Success criteria include finding the pause button on their own. Do not set a required speaking duration for older adults.

AHALab × ZimaBlueAI · aha-lab.ai

Feedback / 40—44 minutes

Ask what happened before adding a feature

First ask what is not working: the task was not solved, the entry point was not found, or it could not be used at all.

Sort out feedback first, then decide whether to add featuresThe same feature suggestion may come from unmet needs, hard-to-find existing entry points, or installation/operation barriers.Want to add afeature?Start with specificexperiencesWhat do you need?When do you want to use it? What is missing in thecurrent options?Entry point?The feature exists. Can the user find it?Delivery?Where does installation or use get stuck?13 / AHALab × ZimaBlueAI · Teaching example, not user statistics
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How will you observe next time to tell these three situations apart?
Open the teaching points
  • Want to change the text but cannot find where: check if the entry point is hard to find.
  • Want a new topic, then find an existing option: check if the prompt is clear and the option is easy to see.
  • Different recording habits: maybe you need to rethink the user scenario.

Notes for the speaker

Only provide anonymous rewrites; do not read testers' private matters. Next-day feedback is not long-term retention; a psychology background is not a professional efficacy endorsement.

AHALab × ZimaBlueAI · aha-lab.ai

Activity 3 / 44—47 minutes

When tools can copy, what does a creator still decide?

Learn the method, check permissions, use your own assets, and take responsibility for the results.

The stronger the tool, the more you cannot skip judgmentFrom candidate results to delivery, check authorization, verification, and product trade-offs. Tool licenses do not replace target asset authorization.Can generate /replicateOnly a candidate resultThree checksSource authorizationVerify personallyFits the product coreReady to deliver?Explain the boundariesOwn the outcome14 / AHALab × ZimaBlueAI · Teaching example, not user statistics
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Pick one tool behavior. Explain the permission, the source, and the result you must verify yourself.
Open the teaching points
  • Use REA and replica-skill as read-only observation material. Do not install or run them.
  • A tool license does not equal permission for target code, brands, or user data.
  • Similar looks still require you to explain your users, choices, and verification.

Notes for the speaker

First, independently choose one usage method. Then explain the permission, source, and what you need to verify. Share voluntarily in the meeting. Use read-only tool materials. Do not install or analyze third-party apps.

AHALab × ZimaBlueAI · aha-lab.ai

Action and setbacks / 47—50 minutes

Make room for small commitments, and for starting again

Set a small goal, reduce one distraction, and reschedule after an interruption.

After failure, you can still choose the next responsible stepReturn with evidence of attempts. You can adjust, ask for help, or pause with justification. If not started, shrink the action and reschedule.No successFirst ask whathappenedTried: bring back evidenceAdjust / Ask for help / Pause with a reasonReply to participants and explain the next stepNot started yet: find the blockerShrink the action, clarify conditions, and re-agreeDo not use personality labels instead of help15 / AHALab × ZimaBlueAI · Teaching example, not user statistics
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Next time you get stuck, which condition will you adjust first, and when will you resume?
Open the teaching points
  • Set time and place, start prompts, and completion evidence. Keep rest and cost limits.
  • If it fails, bring back the phenomenon. If it does not start, check the blocker. Ask for help or re-agree in time.
  • Self-discipline helps execution; first principles help check direction. Neither guarantees success.

Notes for the speaker

3 minutes still include failure and responsibility. For example, “If I sit at my desk tomorrow night, I will draw two paper cards first.” Do not imitate famous people staying up late. Allow pausing with a reason. Do not blame failure on personality. Do not prove the market with wealth or likes from friends and family. The methods page has two extension images.

AHALab × ZimaBlueAI · aha-lab.ai

Activity 4 / 50—57 minutes

Keep a wider hope. Choose a smaller next step.

Use one of your strengths, check one guess, and plan a small, doable try.

Put your strengths and sticking points into a one-week experimentBreak long-term visions into small actions startable within 48 hours. Use one existing strength, pre-plan strategies for sticking points, and check evidence after 7 days.Long-term vision: What change do I want to bring for whom?Borrow a strengthShow your strength with apast experienceStart within 48 hoursCan start in 20 minutesIf you get stuck, first try…Review after 7 daysWhat happened?Should the plan change?16 / AHALab × ZimaBlueAI · Teaching example, not user statistics
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Complete Task Card C: The first check you can start within 48 hours.
Open the teaching points
  • 2 minutes to write the target and the guess, 2 minutes to write the action and the evidence.
  • 2 minutes to self-check using the prompts, 1 minute to revise; if you have a partner, you can choose to share.
  • Use one existing strength, and write down the start conditions and what to do if you get stuck.

Notes for the speaker

Keep it to about 7 minutes. Focus on the target, action, time, evidence, and plan for sticking points. You do not need to fill in every box. University students work on their own and can ask for help online. If you have no topic yet, just observe. Respect it if the person you ask says no.

AHALab × ZimaBlueAI · aha-lab.ai

Take one action away / 57—60 minutes

Next time, bring back something that happened

Use one action and the feedback to keep adjusting your idea.

Know yourself better through what actually happenedThe exit note states what matters, when to act, and what to bring back. Update understanding through action and feedback.I care aboutOne specific situationI will doTime + small actionI bring backEvidence + next stepAction → feedback → revision; self-awareness can also be updated.17 / AHALab × ZimaBlueAI · Teaching example, not user statistics
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Write three sentences and set a time to review. Invite others to check only if you need it.
Open the teaching points
  • Finally, write three sentences: what I care about, when I will act, and what I will bring back next time.
  • Check if it started after 48 hours. Check evidence and revisions after 7 days.
  • Start with what you care about. Use tools to help, and consider how your choices affect others.

Notes for the speaker

Self-learners keep their own cards. If you need advice, manually send a non-sensitive summary you are willing to share. Sharing in meetings is voluntary. Project success is not judged by in-class statements or reading marks.

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