This form helps us understand your facility, preferences, and timeline so we can recommend the most efficient, sustainable, and cost-effective hydration system.
Company/Entity name
Industry category
Corporate Office
Co-working Hub
Manufacturing Plant
Fitness & Wellness
Retail Showroom
Hospitality
Healthcare
Education
Government
Other:
Primary facility address (street & city)
Number of employees/daily occupants
Average daily visitors (clients, guests, students, etc.)
Number of floors/zones needing water access
Do you currently own or rent the premises?
Which systems do you currently use?
Bottled-water coolers
Jug dispensers
Single-use plastic bottles
Point-of-use filtration
Fountain + filter
None/tap water
Other
What pain points are you experiencing? (taste, running out, space, cost, sustainability, maintenance, etc.)
Approximate monthly spend on bottled water/jug refills
Have you measured your plastic footprint or sustainability KPIs?
Primary water type required
Chilled still
Ambient still
Chilled sparkling
Hot & chilled
All of the above
Extra functionalities of interest
UV-C self-sanitisation
Mineral addition (Mg, Ca)
Alkaline boost
Flavour infusion (fruit, herbs)
Smart IoT monitoring
Touch-free dispensing
Cup dispenser
Ice making
Carbonation on demand
Hot water safety lock
Estimated daily water volume (litres)
< 30 L
30–80 L
80–150 L
150–300 L
> 300 L
Unsure – need guidance
Would you like a countertop or freestanding unit?
How important is design aesthetics to match interior branding?
Not important
Slightly important
Moderately important
Very important
Critical
Preferred finish/material
Brushed stainless steel
Black matte
White/light
Copper/rose gold
Custom colour wrap
No preference
Is a potable water line within 3 m of the preferred location?
Is a floor drain or drip tray acceptable at the location?
Do you have 220–240 V or 110–120 V power within 1 m?
Water hardness level (if known)
Soft (< 60 ppm)
Moderate (60–120 ppm)
Hard (120–180 ppm)
Very hard (> 180 ppm)
Unknown – please test
Is reverse-osmosis (RO) waste water acceptable in your building?
Any special hygiene codes we must meet? (food-grade, healthcare, LEED, WELL, etc.)
Preferred acquisition model
Outright purchase
Lease-to-own (3–5 yrs)
Rental (monthly)
Subscription (all-inclusive)
Pilot programme first
Budget range per unit (if any)
Is this CAPEX pre-approved or pending approval?
Do you require multi-year consumables contract bundled?
Is sustainability-linked financing (green lease) of interest?
Expected filter replacement frequency (months)
Service response time SLA
Next business day
Within 48 h
Within 72 h
No fixed SLA needed
Would you like remote IoT monitoring included?
Do you need bilingual (local + English) support?
Is weekend installation acceptable?
We aim to eliminate single-use plastics
We have ESG reporting obligations
We are pursuing WELL, RESET, or LEED certification
List any local water-efficiency mandates or incentives we should factor in:
Ideal installation date
Urgency level
As soon as possible
Within 1 month
Within 3 months
Exploratory – no fixed date
Are you comparing other vendors?
Would you like a free 7-day on-site trial?
Primary contact name
Job title/role
Email address
Mobile/WhatsApp number
Upload floor plan or photos of proposed area (optional)
Upload recent water quality report (if available)
I consent to the collection and processing of data for quotation and service purposes.
Analysis for B2B Hydration & Water System 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.
This B2B inquiry form is exceptionally well-architected for its purpose: capturing the precise technical, financial, and operational parameters needed to specify and quote hydration systems for commercial facilities. The form’s progressive disclosure—starting with basic business context and moving through technical requirements, financial parameters, and service expectations—mirrors the natural sales-qualification workflow and keeps cognitive load low. Conditional follow-ups (e.g., landlord contact if renting, pipe diameter if water is nearby) collect situational detail without cluttering the interface for everyone. The language is sector-specific (“point-of-use”, “RO waste”, “SLA”, “ESG reporting”) which signals expertise and builds trust with facilities managers, sustainability officers, and procurement teams.
From a data-quality perspective, the mix of closed-ended, numeric, currency, date, and optional file-upload fields yields structured data that can feed directly into a CPQ (configure-price-quote) engine or CRM scoring model. Optional numeric fields (monthly spend, visitor count, budget) still accept nulls, so incomplete submissions remain useful for lead scoring while avoiding the abandonment spikes seen when every financial question is mandatory. The sustainability and compliance section positions the vendor as a consultative partner rather than a commodity supplier, increasing the likelihood that prospects will volunteer strategic information that competitors may not ask for.
Purpose: Provides the legal entity for quotation, credit-check, and contract issuance. It also enables account-based marketing and duplicate-record prevention in the CRM.
Effective Design: Single-line open text with no character limit accommodates everything from “Acme Pte Ltd” to long government agency names. Placing it first leverages the “foot-in-the-door” effect: typing a name is trivial, yet commits the user to the process.
Data Implications: Captured as plain text; requires backend cleansing to merge duplicates like “IBM” vs. “International Business Machines”. Still, the field is small enough to minimise privacy exposure (no UEN or tax ID yet).
UX Considerations: Autocomplete against existing CRM records would reduce typos and duplicate leads, but the current open box is acceptable for an initial inquiry.
Purpose: Drives product recommendations (e.g., healthcare may need UV-C and hygiene certification; gyms need high-capacity chillers). Also segments marketing collateral and reference stories.
Effective Design: Single-choice radio with 9 pre-defined verticals plus “Other” keeps the set exhaustive yet scannable. Conditional text box for “Other” prevents loss of nuance.
Data Implications: Creates a clean categorical variable for cohort analysis and lifetime-value modelling by vertical.
UX Considerations: Icons or colour coding could add visual speed, but the minimalist list keeps mobile rendering fast.
Purpose: Core sizing parameter for litre-per-day capacity and chiller compressor spec. Impacts price tier directly.
Effective Design: Numeric-only input prevents alphabetic garbage. Mandatory status ensures the sizing engine always has a key variable, avoiding underspecification that could lead to customer dissatisfaction post-install.
Data Implications: High correlation with deal size; feeding this into lead-scoring algorithms improves forecast accuracy.
UX Considerations: Tooltip clarifying “daily occupants” versus “licensed headcount” would reduce variance in answers, but current wording is adequate for most facilities managers.
Purpose: Defines the SKU bundle (chiller module, carbonator, boiler) and installation complexity. A prospect needing “hot & chilled” will trigger dual-line models and higher electrical load.
Effective Design: Single-choice prevents contradictory selections (unlike multiple-choice) and maps cleanly to product codes in the catalogue.
Data Implications: Because this is mandatory, every quote request contains a sellable configuration; sales engineers do not waste time clarifying basic spec.
UX Considerations: Icons of droplets, steam, and fizz next to each option could speed recognition, but text labels keep accessibility high.
Purpose: Determines pricing logic (capex vs. opex), payment terms, and whether to present subscription bundles that include filters and service.
Effective Design: Single-choice with five financing options plus “Pilot programme first” reduces sticker shock and aligns with how facilities managers buy durable equipment.
Data Implications: Capturing this early lets finance teams apply the correct discount rate and cash-flow model before quote issuance.
UX Considerations: Including a short sentence under each option (e.g., “Subscription: $0 capex, all-in monthly fee”) would remove ambiguity, but current design keeps the form compact.
Purpose: Creates the CRM contact record and enables automated nurture sequences. Email is the primary asynchronous channel for sending quotations and scheduling site visits.
Effective Design: Both mandatory, preventing orphaned leads. Email field should include HTML5 email validation to catch typos in real time.
Data Implications: With consent checkbox present, these fields form the lawful basis for direct marketing under PDPA/GDPR.
UX Considerations: Auto-focus on email field after name reduces tab strokes; minor but cumulative for busy facilities staff on mobile.
Mandatory Question Analysis for B2B Hydration & Water System 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/Entity name
Justification: This is the legal entity that will sign the service agreement and be invoiced. Without it, quotations cannot be issued and downstream processes such as credit checks and landlord approvals stall. Keeping it mandatory eliminates ambiguous submissions like “personal” inquiries that are outside the B2B scope.
Industry category
Justification: Industry vertical directly affects regulatory requirements, product specs (e.g., food-grade stainless steel for healthcare), and reference stories that can be cited in proposals. A missing value forces sales engineers to hold discovery calls for basic qualification, lengthening the sales cycle by days.
Number of employees/daily occupants
Justification: This numeric input is the primary driver for litre-per-day capacity calculations and compressor sizing. An empty field would lead to undersized or oversized quotes, both of which erode margin (oversized) or risk customer dissatisfaction and returns (undersized). Mandatory status ensures every quote is technically viable.
Primary water type required
Justification: Determines the bill-of-materials (chiller, carbonator, boiler) and therefore price and lead time. Without this data, the configurator cannot generate a valid SKU list, making it impossible to produce an accurate quotation or reserve inventory.
Preferred acquisition model
Justification: Finance and legal terms differ dramatically between outright purchase and subscription; discounting authority, approval matrices, and contract templates all hinge on this field. Capturing it up-front prevents re-work and allows automated routing to the correct pricing desk.
Primary contact name
Justification: A named contact is required for audit trails, site-visit scheduling, and post-installation service handovers. Generic submissions like “Facilities Team” create ghost records that lower CRM hygiene and complicate service SLA tracking.
Email address
Justification: Email is the asynchronous backbone for sending quotations, CAD drawings, and service schedules. It also serves as the unique identifier for portal access where customers can track ticket status. Omitting it would push all communication to phone, ballooning support cost and response time.
The form strikes an effective balance: seven mandatory fields capture the minimum viable dataset for technical sizing, legal quoting, and contactability, while leaving deeper technical and financial questions optional to avoid abandonment. This keeps completion friction low for early-stage prospects yet still feeds a robust CPQ engine. To further optimise, consider making “Budget range per unit” conditionally mandatory when “Outright purchase” is selected, since sales teams currently waste cycles on prospects with no spending authority. Conversely, evaluate whether “Number of employees” could be auto-calculated from optional floor-plan uploads via OCR, reducing user input. Finally, add real-time validation on email and numeric fields to prevent junk data at source, thereby preserving the integrity of the mandatory set without adding extra fields.