← Lesson 02: Find a problem worth solving LESSON 02 · 25 MINUTES

Find a problem worth solving

Good products start with a clear problem. Today you turn one of your three problems into a short statement, and get ready to ask a real person about it.

Problem before solutionA problem statementGood questionsRehearse with AIOne real conversation
Present slides Full screen, one slide at a time · 9 slides
LESSON 02 · MAP · 02 01

What you will leave with

  • Why talking about problems beats talking about solutions
  • A five-part problem statement
  • Five good questions about real past events
  • A rehearsal with the AI, then one real conversation

YOU LEAVE WITH · A problem statement backed by one real conversation

LESSON 02 · MAP · 03 02

Problems before solutions

Solution talk

  • “We need an app for the rota”
  • Jumps straight to an answer
  • Hard to check with anyone

Problem talk

  • “Volunteers miss shifts because swaps get lost”
  • Describes what actually happens
  • Easy to check with a real person

If your sentence names an app or a website, it is a solution. Try again without it.

LESSON 02 · MAP · 04 03

A clear problem statement in five parts

  1. WHOA specific group of people, not “everyone”
  2. WHENThe situation where the problem happens
  3. STRUGGLEWhat goes wrong for them
  4. COSTWhat it costs them: time, money, worry
  5. EVIDENCEHow you know: guessed, heard from someone, or seen yourself

Evidence means how you know. Be honest: “I guessed” is a fine place to start.

LESSON 02 · MAP · 05 04

Good questions, poor questions

Poor: invites a polite yes

  • “Would you use an app for this?”
  • “Don’t you think the rota is a pain?”
  • “How much would you pay for it?”

Good: asks about real past events

  • “Tell me about the last time a shift was missed.”
  • “What did you do about it?”
  • “What happened next?”

Ask about what people did, not what they might do. People are kind, so future questions get polite yeses.

LESSON 02 · MAP · 06 05

Riverside Café (fictional): a first problem statement

Starting point

First try: “The café needs a rota app.”

Reframed

Better: “Shift leads at Riverside Café (who), when a volunteer swaps a shift at short notice (when), often don’t hear about it in time (struggle), so the café opens short-staffed about once a week (cost). Heard from one shift lead (evidence).”

Ask

  • Which parts were missing from the first try?
  • What would you ask the shift lead next?
  • Who else at the café might see this differently?
LESSON 02 · MAP · 07 06

Live demo: rehearse with the AI

Prompt for your AI assistant
I want to practise asking someone about a problem. Please play a busy café volunteer. You are invented, not a real person. Answer my questions briefly, the way a real person would, and if I ask a leading question, give a polite yes. When I type “stop”, step out of the role. Tell me which of my questions were leading or about the future, and suggest a better question for each one, about a real past event.

Check the response

  • The AI stays in role until you type “stop”
  • It spots at least one leading question
  • Each weak question gets a better rewrite
  • You treat the rehearsal as practice, not evidence
LESSON 02 · MAP · 08 07

Your tutorial: 35 minutes

Work through the Lesson 2 tutorial. Each step is a short prompt, then a “Did you…?” check.

  1. Pick one of your three problems
  2. Ask the AI to help you write it in five parts, using no real names
  3. Write five good questions, then rehearse them with the AI
  4. Ask one real person, with their permission, and note what they said and did
Deliverable

A problem statement backed by one real conversation

LESSON 02 · MAP · 09 08

Before you move on

  • I can tell a problem from a solution
  • I have a problem statement with all five parts
  • I have five questions about real past events
  • I have spoken to one real person, or booked a time to

NEXT · Lesson 3: The smallest useful thing