This inquiry form helps us understand your manufacturing environment so we can recommend the optimal automated metrology solution for 100% inline inspection.
Company/Organization Name
Division/Plant Name
Primary Contact Full Name
Job Title/Role
Business E-mail
Phone (with country code)
City & Time-zone
Describe your current line so we can match the correct speed, accuracy and integration depth for the metrology system.
Product(s) Manufactured on this Line
Annual production volume (units)
Takt time target (seconds)
Current shift pattern
Single shift
Two shifts
Three shifts
Continuous (24/7)
Is the line already fully automated (no manual handling between stations)?
List the features that must be verified inline to achieve zero-defect output. Include GD&T call-outs if applicable.
Features to be inspected
Feature Name | Nominal Dimension & Unit | Tolerance (±) | Criticality | GD&T Symbol (if any) | |
|---|---|---|---|---|---|
Bore diameter | 25.00 mm | 0.01 mm | Function | ⌀ | |
Perpendicularity | 0 | 0.02 mm | Function | ⊥ | |
Do any features require surface finish measurement (Ra, Rz, Sa)?
Do any features require material analysis (alloy grade, hardness, coating thickness)?
Understanding your present inspection process pinpoints where time and capacity are lost.
Current inspection method
Off-line CMM in lab
Portable arm/b-scan
Hand gauges
Combination of above
None—100% visual
Average queue time before part can be measured (minutes)
Average actual measurement time per part (minutes)
How many parts are currently measured per shift?
Have you identified the metrology lab as a capacity constraint?
Have you experienced customer complaints or recalls due to undetected non-conformances?
Define the success criteria for your automated metrology investment.
Target measurement cycle time (seconds) that fits takt
Maximum permissible measurement uncertainty (µm or unit)
Desired inspection coverage
100% of all features
100% of critical features only
Random sampling upgraded to 100%
Must the system support predictive tool-wear compensation?
Do you want real-time SPC charts visible to operators?
Do you need automatic rejection & segregation of non-conforming parts?
Accurate metrology depends on a stable environment; provide data to ensure correct enclosure and compensation.
Ambient temperature variation (±°C) near proposed cell
Vibration amplitude (µm) at floor level (if known)
Will the system be placed beside presses, welders or other vibration sources?
Is coolant or cutting-oil mist present in the cell?
Floor space available (m × m)
Ceiling height available (m)
House compressed-air quality
ISO 8573-1 Class 5 or better
Shop air—wet & oily
Not available
Electrical supply
400 V 3-phase
480 V 3-phase
200-230 V 3-phase
Other
Seamless data flow prevents islands of information and enables Industry 4.0 analytics.
Preferred communication protocol
OPC-UA
MQTT
Ethernet/IP
Modbus TCP
Profinet
Custom TCP/UDP
Do you require connection to an MES/ERP system?
Do you need the measurement report in a specific format?
Must raw point-clouds be stored for later re-evaluation?
Data retention period (years)
Will the system need to support digital twin integration?
Identify any global or local standards that must be satisfied.
Applicable standards
ISO 9001
IATF 16949
AS 9100
ISO 13485
ISO 14001
FDA 21 CFR Part 11
GMP Annex 11
Other
Does the cell need a safety PLd/SIL2 rating?
Is IP54 or higher enclosure mandatory?
Are there any explosive-atmosphere (ATEX) considerations?
Must calibration be traceable to NIST/NPL/PTB?
Aligning expectations early accelerates decision making.
Budget range (EUR)
<150 k
150–300 k
300–500 k
500 k–1 M
>1 M
Still unknown
Planned purchase order date
Required production start-up (SAT + first article)
Risk tolerance
Risk-averse
Moderate
Early adopter
Is financing/leasing an option?
Would you consider a performance-based service contract (pay-per-validated-part)?
Provide any drawings, photos, or videos that help us visualize your application.
Upload CAD model of part (STEP or native)
Upload photo of current line layout
Upload existing CMM report (PDF) if available
Additional comments or challenges not covered above
I consent to the storage and processing of my data for quotation purposes
Signature of authorized requester
Analysis for Automated Metrology Integration Inquiry Form
Important Note: This analysis provides strategic insights to help you get the most from your form's submission data for powerful follow-up actions and better outcomes. Please remove this content before publishing the form to the public.
The Automated Metrology Integration Inquiry Form is a best-practice example of B2B technical qualification. It moves methodically from who (contact) to what (product) to how fast (takt), how good (tolerance) and how connected (data), mirroring the exact engineering conversation a metrology integrator would have on-site. Mandatory fields are limited to the minimum data set required for an initial quotation, keeping the psychological barrier low while still capturing the technical depth needed for a valid proposal.
Progressive-disclosure techniques (follow-ups only appear when relevant) reduce cognitive load, while the table-driven “Features to be inspected” lets engineers paste cut-sheets directly from the drawing, eliminating re-keying errors. Embedding concrete examples inside placeholders (e.g. “e.g. EV motor housings, turbine blades, medical implants”) accelerates comprehension for global users whose first language may not be English. Finally, the form explicitly asks for environmental, safety and budgetary constraints—topics that often derail projects if discovered late—thereby front-loading risk mitigation.
This field anchors the entire CRM record and is the prerequisite for credit checks, export-control screening and OEM-specific pricing matrices. By making it mandatory the vendor can immediately determine whether the inquirer is a Tier-1 automotive giant (qualifying for volume rebates) or a niche medical-device shop (needing FDA-validated systems).
From a UX standpoint, the single-line open text lowers friction compared with dropdowns that would require constant maintenance (M&A, re-branding). The vendor can later standardize names internally without forcing the user to guess an exact legal entity.
Privacy is minimal—company names are public—so GDPR objections are unlikely, yet the field still provides a legal entity for contracts and invoicing.
Metrology solutions are high-touch, often involving months of engineering iterations. Capturing the real human name up-front personalises follow-up emails and prevents the spam-folder fate of generic “info@” addresses. It also satisfies ISO 9001 record-control requirements for traceable communication.
The open format avoids cultural bias; family-name-first conventions in Asia are preserved accurately, reducing later embarrassment when contracts use the wrong order.
Combined with Job Title, this field lets the vendor map the DMU (decision-making unit) early—critical for complex sales where the buyer, specifier and payer may be three different people.
E-mail remains the asynchronous backbone of industrial sales: CAD files, NDAs, quotation revisions and FAT invitations all flow through it. Making it mandatory guarantees a routable, auditable channel that bypasses LinkedIn spam filters or WhatsApp blocks inside corporate firewalls.
The “business” qualifier subtly discourages gmail.com addresses, improving data quality and reducing free-mail fraud risk. Regex validation can be applied server-side to ensure MX records exist, catching typos before the first follow-up is lost.
Because the form already requests phone, e-mail is not the sole route, preserving redundancy if the domain changes during long sales cycles.
Automated metrology projects often require urgent clarifications—e.g. recalculating uncertainty budgets when a drawing rev changes. A phone number shortens the OODA loop from days to minutes, preventing RFQs from stalling.
The explicit “with country code” instruction removes ambiguity for global OEMs, eliminating the need for the vendor to guess whether +86 is China or +60 is Malaysia. This tiny UX sentence prevents back-and-forth e-mails, accelerating time-to-quote.
Telephone also serves as a secondary unique identifier; if two divisions of Bosch use the same e-mail domain, the phone number distinguishes them in the CRM.
This is the pivot point from generic contact data to application-specific engineering. Knowing whether the part is a turbine blade or a smartphone housing immediately determines sensor type (optical vs. tactile), permissible probing force and required cleanliness class.
The open text accepts internal part numbers, letting the vendor cross-reference past projects and reuse calibration macros, slashing engineering cost and lead-time.
Mandatory status is justified because without part-family information the vendor cannot even estimate cycle time or probe accessibility, making a technically valid quotation impossible.
Volume drives the business model: 50 k/year may justify a 2-station rotary dial gauge, whereas 2 M/year demands parallel in-line CMMs with auto-compensation. Capturing this early prevents the embarrassment of proposing a €1 M cell for a 5 k/year prototype run.
The numeric field type enables server-side range checks (e.g. >0) and automatic segmentation into A, B, C tiers for marketing automation.
Because volume is often confidential, the form pairs it with an NDA signature later, balancing data depth with trust.
Takt is the drum-beat of the entire factory. If the metrology cell cannot match 38 s takt, the line will starve downstream stations. Making this field mandatory forces the vendor to solve the real constraint, not just deliver glossy uncertainty specs that look good in a brochure.
Numeric entry allows fractional seconds (e.g. 17.4 s) common in high-speed EV stator lines, avoiding dropdown granularity errors.
Combined with measurement cycle-time KPI later, the vendor can instantly compute parallelism factors and probe-count requirements, shortening concept-phase from weeks to hours.
Shift pattern determines duty-cycle and therefore MTTR/MTBF targets. A 24/7 line needs hot-swap probes and predictive maintenance algorithms; a single-shift job-shop can tolerate longer calibration windows. Capturing this up-front prevents over-engineering and cost inflation.
The single-choice format normalises responses for analytics, letting marketing compare adoption rates between two-shift automotive and three-shift medical plants.
Mandatory status ensures quotations include appropriate service-level agreements (next-day probe shipment vs. same-day field engineer) avoiding post-sale surprises.
This is the diagnostic core of the form. Knowing whether the customer is still using hand gauges versus off-line CMM quantifies the magnitude of the bottleneck and justifies ROI calculations. It also flags technology leapfrogs: a user with no automated measurement may need more change-management support than one already using CMMs.
The list is exhaustive yet mutually exclusive, preventing users from selecting “all of the above” and diluting insight.
Mandatory completion guarantees the vendor can auto-populate an ROI spreadsheet (labor savings, scrap reduction) and attach it to the first quotation e-mail, accelerating decision making.
Whereas takt defines customer demand, this field defines the engineering solution. If the target is 15 s but geometric complexity requires 30 s, the vendor knows immediately that parallel stations or multi-probe heads are non-negotiable, preventing optimistic promises that would break the line.
Numeric entry allows decimals, critical for high-speed consumer electronics where every 0.1 s counts.
Mandatory status forces the customer to internalise the time constraint early, aligning expectations and reducing late-stage scope creep.
This is the quality contract. Without it the vendor could deliver 10 µm uncertainty when 5 µm is required, exposing the customer to warranty claims. Making it mandatory ensures a quantitative specification is on every quotation, protecting both parties.
Free-text units accommodate inches, mils, µm, or percentages, avoiding imperial/metric errors that have caused Mars orbiter losses.
Combined with tolerance data from the features table, the vendor can compute capability indices (Cmk) and advise if 100% inspection is statistically worthwhile, adding credibility to the proposal.
This field clarifies scope: 100% of all features may require 50 sensors, whereas 100% of critical features may need only 5, slashing cost by 90%. Mandatory selection prevents the common scope-drift where customers implicitly assume full coverage but only pay for spot checks.
The single-choice format maps cleanly into PLM systems, letting the vendor auto-generate a work-breakdown-structure for project management.
It also flags regulatory environments: medical implants often demand 100% of all features, while automotive may accept critical-features-only if PSW history is strong.
Inline metrology is worthless if data cannot reach the PLC. Making this field mandatory forces IT/OT stakeholders to surface early, preventing the classic late-stage discovery that the plant only supports legacy Profibus while the gauge offers only OPC-UA.
The list covers 95% of real-world shop-floors; missing protocols can be typed into the open comments, ensuring completeness.
Because protocol choice affects hardware cost (licensing, stacks), capturing this up-front allows accurate pricing and avoids painful change-orders.
This is the customer’s drop-dead date. Missing it can incur OEM penalties of €50 k per day. Mandatory entry ensures every quotation includes a realistic Gantt chart with visible critical path, reducing schedule disputes.
Date-type input prevents ambiguous “Q3” statements and enables automatic lead-time checks against component availability (e.g. granite plates 16-week delivery).
Combined with budget field, the vendor can propose phased roll-outs or rental options if timeline and capital are misaligned, maintaining deal momentum.
GDPR and CCPA make explicit consent a legal necessity. Placing it at the end, after value has been delivered, maximises conversion while remaining compliant. Mandatory status ensures no RFQ enters the CRM without audit-proof consent, protecting both vendor and customer from fines.
The checkbox (not pre-ticked) satisfies the “clear affirmative action” clause, while the narrow scope (“for quotation purposes”) reduces privacy anxiety and abandonment.
Digital timestamping paired with signature below creates a non-repudiable record, critical for regulated industries subject to FDA or TÜV audits.
Mandatory Question Analysis for Automated Metrology Integration Inquiry Form
Important Note: This analysis provides strategic insights to help you get the most from your form's submission data for powerful follow-up actions and better outcomes. Please remove this content before publishing the form to the public.
Company/Organization Name
Without the legal entity name the vendor cannot perform credit checks, export-control screening or OEM-specific pricing, all of which are prerequisites for issuing a valid quotation. It also prevents duplicate leads when divisions share contacts.
Primary Contact Full Name
High-value metrology projects require iterative engineering discussions over months. A named human is essential for audit trails, NDAs and FAT sign-offs. Generic aliases like “Engineering” cannot be entered, ensuring accountability.
Business E-mail
E-mail is the primary channel for CAD exchanges, quotation revisions and meeting invites. Making it mandatory guarantees a routable, time-stamped communication path that satisfies ISO 9001 document-control requirements.
Phone (with country code)
Urgent clarifications (drawing rev changes, uncertainty re-calculations) can stall RFQs for days if only asynchronous e-mail is available. A phone number with country code enables immediate voice or WhatsApp contact, slashing response time from days to minutes.
Product(s) Manufactured on this Line
This is the application-specific pivot. Without knowing whether the part is a turbine blade or a battery tray the vendor cannot select sensor type, probing force or cleanliness class, making a technically valid quotation impossible.
Annual production volume (units)
Volume determines business model and hardware architecture (rotary dial vs. parallel CMMs). Mandatory capture prevents under- or over-engineering and is required for ROI calculations that justify capital expenditure.
Takt time target (seconds)
Takt is the factory heartbeat. If the metrology cell cannot match it the line will starve. Making this mandatory forces engineering to solve the real constraint rather than delivering glossy uncertainty specs that break production.
Current shift pattern
Duty-cycle and MTTR targets depend on shift pattern. A 24/7 line needs hot-swap probes and predictive maintenance, while single-shift does not. Mandatory selection ensures the quotation includes correct service-level agreements and spare-part kits.
Current inspection method
This quantifies the bottleneck magnitude and drives ROI calculations. Without it the vendor cannot estimate labor savings or scrap reduction, making it impossible to build a credible business case for automated metrology.
Target measurement cycle time (seconds) that fits takt
This engineering specification dictates probe count and parallelism. Mandatory entry prevents optimistic promises that would fail to keep pace with the line, avoiding late-stage re-design costs.
Maximum permissible measurement uncertainty (µm or unit)
This is the quality contract. Without a numeric uncertainty the vendor could deliver 10 µm when 5 µm is required, exposing the customer to warranty claims. Mandatory capture protects both parties.
Desired inspection coverage
Scope and price vary 10× between “100% of all features” and “critical features only”. Making this mandatory prevents scope-drift and ensures the quotation aligns with actual expectations.
Preferred communication protocol
Inline metrology is worthless if data cannot reach the PLC. Forcing this choice surfaces IT/OT constraints early, preventing late-discovered incompatibilities that trigger expensive change-orders.
Required production start-up (SAT + first article)
This is the customer’s drop-dead date. Missing it can incur OEM penalties. Mandatory entry guarantees every quotation includes a realistic Gantt chart, reducing schedule disputes and maintaining credibility.
I consent to the storage and processing of my data for quotation purposes
GDPR and CCPA require explicit, auditable consent. Mandatory checkbox ensures no RFQ enters the CRM without legal cover, protecting vendor and customer from regulatory fines.
The form strikes an optimal balance: only 15 out of 50+ fields are mandatory, focusing on the minimum data set needed for a technically valid quotation. This keeps psychological friction low while still capturing engineering, commercial and regulatory essentials. To further boost completion rates consider progressive profiling: after the initial submit, prompt for optional fields like vibration amplitude or compressed-air quality during the first technical call, when trust is higher.
For future iterations, evaluate making Budget range mandatory once a late-stage gate is reached; early anonymity can encourage honest inquiries from competitors or universities, but knowing budget before detailed design prevents wasted engineering hours. Also consider conditional mandatories: if the user selects “Yes” to ATEX, require the ATEX zone classification in a follow-up, ensuring depth without over-burdening the majority of non-hazardous applications.