System Design AI
All designs

Product managementintermediate

20. Test a neighborhood tool library

Choose a useful first service before spending a small team’s budget on an app.

The brief

A community center wants neighbors to borrow occasional-use hand tools. Decide who a first pilot should serve, what problem it should solve and how to learn whether to continue. A phone process or a simple ledger may be enough; justify the approach you choose.

  • The center has 18 hand tools and 200 interested residents; interest is not evidence of actual borrowing.
  • A six-week pilot has a $1,200 budget and six staff-hours each week. Tools are collected in person.
  • Some residents do not use smartphones. Staff worry that late returns will spoil another person’s booking.

Constraints

Pilot budget≤ 1,200 dollars
Declare the total pilot spend, with a simple breakdown; include any chosen purchases, printing and outreach.
Weekly staff time≤ 6 staff-hours/week
Declare the weekly staff-hours your plan needs and explain the main tasks.
Phone access
Someone without a smartphone must be able to request a tool and learn the outcome.
Demand uncertainty
Treat sign-ups as interest; use evidence of successful borrowing and returns to decide whether to continue.

What to cover

  1. 01

    People and problem

    Choose a first group to serve, describe its current workaround and identify one assumption you need to test.

  2. 02

    Smallest useful pilot

    Explain the offer, borrowing/return journey, what you leave out and how staff will deliver it.

  3. 03

    Learning and decision

    Propose a small discovery activity and a pilot measure with a threshold or decision rule; include a counter-signal that would stop expansion.

  4. 04

    Costs and difficult case

    Break down budget and staff time, then walk through a late return. Compare one simpler or broader alternative.

Worked designs

No worked design has been published for this brief yet. You can start an attempt and share your approach in the discussion.

Review rubric

AI feedback uses these criteria. Scores are practice feedback.

Problem and assumptions

Connects a chosen group to a concrete need and distinguishes evidence from assumptions.

25points

Useful and feasible scope

The pilot delivers a clear outcome within the budget, staff time and phone-access constraint.

30points

Decision-quality learning

Evidence and measures can support a continue, change or stop decision rather than just count interest.

30points

Exceptions and choices

Handles a late return and explains the cost or benefit of a credible alternative.

15points

Discussion

Share an approach, ask a question, or tag @Coach.

Loading discussion…