02 · Compare the artifacts
Supported work. Visible uncertainty.
This is a fictional, sanitized training case. It contains no real personal, customer, supplier, financial, or confidential data and does not provide legal, accounting, engineering, investment, or regulatory advice.
MesaLift predictive-maintenance venture
MesaLift is a fictional Utah founder project exploring a retrofit sensor and monthly monitoring service for independent automotive repair shops. The founder believes unexpected lift downtime is costly, but the current evidence is mixed. Nine shop managers were interviewed using a common question guide. Six recalled at least one lift-related interruption during the prior year, three described downtime as routine maintenance rather than an urgent business problem, and only two shared redacted maintenance logs. One five-bay shop signed a nonbinding letter to consider a paid pilot after a qualified safety review; another wants a free trial but refuses to install unproven hardware. The founder estimates a $149 monthly subscription and a $420 installation charge. A preliminary supplier email quotes $118 per sensor at 100 units, excluding enclosure, calibration, freight, installation, returns, and warranty. A competing preventive-maintenance contract costs roughly $900 per lift each year but includes inspections the proposed service cannot replace. The prototype currently detects vibration patterns on a bench; it has not been validated on an operating lift and no safety, electrical, insurance, or certification determination has been made. The founder has $28,000 available, wants to order 250 sensors, and hopes to raise capital within eight weeks. A collaborator says the algorithm is proprietary, yet the code repository contains an unreviewed open-source component with license obligations. The founder also drafted a pitch stating that MesaLift prevents failures and saves shops thousands, although neither claim is supported. Learners must turn this incomplete record into a staged, evidence-led venture plan. The goal is not to approve the product or predict success. It is to show how disciplined customer discovery, model design, economics, gates, responsibility, and claim control change the next decision.
Supported example — reference only
- Element
- Prototype evidence boundary
- From or trigger
- Sensor is available for evaluation; operating order record not supplied.
- To or outcome
- Bench exercise only; field installation and operating-lift evidence remain pending.
- Evidence and source ID
- M02-I03 (F07, confirmed)
- Owner
- Founder and qualified technical reviewer
- Open question
- What evidence and approvals are required before an operating vehicle-lift test?
- Status
- Confirmed boundary — field gate blocked
A well-handled evidence gap
- Element
- Installation and compliance handoff
- From or trigger
- Proposed customer acceptance of an offer; acceptance record not supplied.
- To or outcome
- Qualified installation and approved field use; neither is supplied.
- Evidence and source ID
- M02-I04 (F08, unknown)
- Owner
- Qualified technical, safety, insurance, and certification reviewers
- Open question
- Applicable requirements, installer authority, evidence, and approval sequence: not supplied.
- Status
- Gap open — escalate before field use
Flawed approach — do not copy
Marking this order-flow diagram “approved and complete” without the required evidence or reviewer is a flawed submission. Stop before field installation, customer commitment, or partner representation when a critical handoff lacks evidence or an authorized owner.
Repair: Rework the order-flow diagram as an evidence-backed draft, not an approved result. Start with the customer trigger and map each proposed handoff through offer, payment, sensor supply, installation, monitoring, support, and renewal. Attach M02-Ixx source IDs only to elements supported by the packet and mark all other nodes learner proposals. Distinguish the confirmed supplier quotation and bench exercise from unconfirmed production, installation, certification, and data-handling relationships. Check the revision against this requirement: The proposed order flow covers customer trigger through service and renewal without treating assumptions as confirmed relationships. If the required evidence is still absent, keep the decision blocked and identify the missing input or authorized reviewer.
Full case record, ambiguities and all assignments →