# Concierge Pilot Service Blueprint

Canonical page: https://waitlist.crany.ai/marketing-templates/concierge-pilot-service-blueprint

By Tangenix. Published 2026-10-24. Category: Founder acquisition.

Map the founder’s manual work in a limited software pilot so participants understand what is delivered by people and what the product actually does.

## Task

Make manual founder assistance and product behavior explicit during a bounded pilot.

## When to use

Use this when a founder helps deliver the outcome by hand to learn about a workflow. Record each handoff and intervention instead of making a manual service look like released automation.

## Choose another approach when

The pilot would involve unapproved private data or access, cannot safely deliver the task, or is being presented as a fully autonomous public product.

## Inputs

- An agreed pilot task and the participant’s expected outcome.
- Actual product behavior, founder responsibilities and safe test inputs.
- Available support time and a person responsible for each handoff.

## Template

    Pilot / agreed task: [reference]
    Participant-facing promise: [honest scope]
    Workflow rows: participant action | product behavior | founder manual action | evidence
    For each manual action: trigger, owner, expected effort, input needed and output.
    Access boundary: [approved inputs; no shared credentials by default]
    What happens if the founder is unavailable: [pause, notify or other supported action]
    What is not automated: [plain explanation]
    Actual effort and repeated interventions: [log]
    Reusable learning: [product question]
    Review and stop conditions: [record]

## Illustrative example

This is not a Crany customer result. Replace example details with verified facts.

    Fictional handoff pilot lets a builder enter sample notes. The tool stores the notes, while the founder manually groups confusing items before a review.
    The blueprint tells the participant about that manual grouping and records its duration. It does not market the result as automatic classification. If the founder cannot review that day, the agreed workflow pauses rather than silently pretending the task is complete.
    Repeated grouping decisions become product-learning questions, not evidence of an already released feature.

## How to use

1. Describe the actual workflow and identify every manual intervention.
2. Agree safe inputs, responsibilities and the behavior when assistance is unavailable.
3. Log real effort and use repeated decisions to define the next product-learning question.

## Checks

- The participant can distinguish product output from founder service.
- No manual step is advertised as released automation.
- Support effort is recorded even when the pilot outcome looks successful.

## What to measure

Compare task completion, founder effort and repeated interventions within the agreed pilot scope. A successful assisted task does not establish unassisted usability, margins or scalable acquisition.

## Research and sources

The primary founder accounts discuss hands-on work and reusable-product boundaries. This original service blueprint documents those tradeoffs; it is not a validated automation roadmap or an outcome guarantee.

- [Paul Graham: Do Things That Do Not Scale](https://www.paulgraham.com/ds.html) — checked 2026-10-24. Historical founder essay on manual recruitment and learning from early users; not a universal acquisition benchmark.
- [Y Combinator: The Delicate Balance of B2B Sales](https://www.ycombinator.com/blog/balancing-b2b-sales/) — checked 2026-10-24. Historical founder discussion of early customer feedback and the risk of one-off work; not legal guidance or a claim that pilots establish product-market fit.

Prepared with AI assistance. Sources support the stated principles; they do not endorse Crany or guarantee performance.

## About Crany

Crany is an AI marketing co-founder in development for software founders and vibe coders. It is designed to strategize, execute approved marketing and improve based on results. These free resources are usable independently of app access. The public waitlist is at https://waitlist.crany.ai/.