Purpose
When an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution.
Product Discovery Research method
Concierge MVP
A Concierge MVP shows which value people actually use when it is delivered personally.
A Concierge MVP openly delivers a narrow customer benefit through personal manual work. The team learns from actual use, return behaviour, effort and, where applicable, payments before automating the process.
Which value do people actually use when we deliver it personally?
- Participants
- 3-10 Kunden participants
- Time
- 45–60 minutes planning; several real service cycles over days or weeks.
Offer
Offer
Openly agree segment, concrete outcome, manual scope and price.
Delivery
Delivery
Personally fulfil real requests and log work steps and time.
Use
Use review
Observe whether the result is used and customers return or pay.
Learning decision
Learning decision
Compare value, return use, revenue and actual labour costs.
Observe repeat use and work steps over several cycles; automate repeatable parts only after value evidence.
A good fit when
For early value and business-model assumptions when a small service can actually be delivered manually.
Ideal for
- Early MVPs
- Service Innovation
- High-touch Validation
Not good for
- Anonymous self-service products without contact
- Scaling tests
Outputs
Service learning record
Service log with customer outcome, return use, payments and manual costs.
Service learning decision
The decision separates repeatable core steps from the value of personal attention and justifies the next trial or limited automation.
Concierge MVP· worksheet
Fictional example
A Concierge MVP openly delivers a narrow customer benefit through personal manual work. The team learns from actual use, return behaviour, effort and, where applicable, payments before automating the process.
Service and learning assumption
For whom is which concrete value openly delivered manually? Record price, boundary and learning question.
Fictional: Jana personally assembles three schedule-compatible course options for working learners within two days. Personal service, €20 per request, booking excluded. Learning question: Is the shortlist used and paid for again?
Requests and effort
Track request, steps, outcome, time and exceptional work separately.
Four requests: A 35, B 40, C 45, D 60 minutes, 180 minutes in total. D additionally requires a venue search, flagged as an exception. All receive three options.
Use and return behaviour
Which actual actions, repeat requests and payments are evidenced?
Fictionally, A and C each book a suggested course. B postpones, D chooses none. A later places a paid repeat request. That payment belongs to the next cycle.
Costs and next decision
Calculate revenue and actual costs for the same period; distinguish personal attention from automatable work.
First cycle: 4 × €20 = €80 revenue. 180 minutes = 3 hours; at an internal €30/hour labour rate, labour costs are €90, a −€10 balance before other costs. The team tests standardised schedule intake; general demand and profitability remain unproven.
All example details are fictional and illustrate the application.
First step
Define a narrow service, suitable customers, price and delivery boundaries.
Good to do first
Deep dive
How it works
It delivers the service very close to the user and uses manual operations as a learning instrument. Personal execution reveals need, quality expectations, and recurring patterns before automation or scaling is decided.
In detail
A Concierge MVP helps because value is delivered personally and very close to the user at first, which produces very dense learning signals. Good application does not use the close contact for accommodation but for a precise understanding of need, triggers, and limits of acceptance. Its strength is that the real problem and real value become directly experienceable before a scalable solution is designed.
Facilitation
Choose a few cases where personal service is realistically possible and decision signals can be clearly observed. The round gains substance once it becomes clear which parts users truly value and which are only costly internally. Close with a clean learning record on value, repeatability, and the limits of the manual model.
The method guide walks execution through 4 phases, timing, 4 pitfalls, and clear stop criteria.
Open method guideYour perspective
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Sources and topics
Artifact templates
Concierge MVP: WorksheetDefine a narrow service, suitable customers, price and delivery boundaries.markdown
Concierge MVP: WorksheetDefine a narrow service, suitable customers, price and delivery boundaries.
markdownconcierge-mvp-working-template.md
Define a narrow service, suitable customers, price and delivery boundaries.
Concierge MVP: Worksheet
Question
To be confirmed
Desired outcome
To be confirmed
Scope
Complete cycle Time: 45–60 minutes planning; several real service cycles over days or weeks.
Complete this worksheet on paper or in your own document during the work.
Preparation for this scope
Method setup
- Materials: Service brief, request list, time and outcome log.
- Roles: Customers, service owner, delivery person.
- Advance information: Define a narrow service, suitable customers, price and delivery boundaries.
- Overall time needed: 45–60 minutes planning; several real service cycles over days or weeks.
- Setup: Create an explicit service brief and request list; separately track time, outcome, actual use and payments per request.
Prepare for the work steps
Offer: Offer
- Problem evidence and delivery capacity
Delivery: Delivery
- Agreed requests
Use: Use review
- Delivered service and follow-up contacts
Learning decision: Learning decision
- Service log and costs
Concierge MVP· worksheet
Service and learning assumption
For whom is which concrete value openly delivered manually? Record price, boundary and learning question.
...
Requests and effort
Track request, steps, outcome, time and exceptional work separately.
...
Use and return behaviour
Which actual actions, repeat requests and payments are evidenced?
...
Costs and next decision
Calculate revenue and actual costs for the same period; distinguish personal attention from automatable work.
...
Answer the prompts with your own information. Explicitly mark unknowns and assumptions.
Giff Constable: Talking to Humans
Offer: Offer
Expected artifact: Service agreement
Do customers understand the personal service and boundary?
Entry:
...
- Do customers understand the personal service and boundary?
Delivery: Delivery
Expected artifact: Delivered service
Has the promised customer outcome actually been delivered?
Entry:
...
- Has the promised customer outcome actually been delivered?
Use: Use review
Expected artifact: Use evidence
Is return behaviour observed or merely promised?
Entry:
...
- Is return behaviour observed or merely promised?
Learning decision: Learning decision
Expected artifact: Service learning decision
Is value plausible with less personal attention?
Entry:
...
- Is value plausible with less personal attention?
Open questions and next steps
...
Method guide: https://methodatlas.meierhoff-systems.de/en/methods/concierge-mvp/run-sheet
Alternatives and neighbors
Fitting alternatives with decision guidance, followed by other related methods.
Product Discovery
Wizard of Oz Test
Instead of Concierge MVP, choose Wizard of Oz Test when you want to manually simulate a seemingly automated experience behind the scenes.
Product Discovery
MVP Test Matrix
Moves customer problem, solution idea, and evidence toward a concrete result through "list assumptions", "map assumptions to dimensions", and "derive the test plan".
Product Discovery
Pretotyping
Tests a market claim with the smallest fitting precursor and makes real interest measurable.
Product Discovery
Solution Interview
Clarifies customer problems, solution ideas, and evidence by preparing a solution concept, recruiting target customers, and deriving risks and next tests.
Product Discovery
Fake Door Test
Measures real interest in an idea that has not been built yet, through clicks, sign-ups, or other interest signals.
Product Discovery
Riskiest Assumption Test
Moves customer problem, solution idea, and evidence toward a concrete result through "collect assumptions explicitly", "rate uncertainty and leverage for each assumption", and "decide to pivot, persevere, or stop".
Constraints and origin
MediumWorkshop + async1-4 Wochen
Profile
- Method form
- Research method
- Participants
- 3-10 Kunden
- Time
- 1-4 Wochen
- Maturity
- Established
- Origin
- Lean Startup Community
Next up: Service Blueprinting