DesignAI-Ready

AI-Powered Client Onboarding Form

8-section DesignAI-ready intake form — captures scope, lifestyle, budget, style intelligence, room inputs, and built-in lead qualification.

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A premium client intake form structured for DesignAI workflows — built to capture project scope, lifestyle signals, budget logic, style preferences, spatial constraints, and conversion-ready next steps. Best used for: lead qualification, first consultation, AI-assisted concept generation, budget pre-alignment, and designer handoff.

What This Form Outputs

Structured Design BriefStyle VectorRoom ListBudget BandPriority MatrixAppliance DatasetConcept-Generation Instructions

Most onboarding forms capture surface-level data. This form captures structured, tagged, AI-parseable data — so every answer either goes into a design decision or into a qualification decision. Nothing is captured just for filing.

The 5-Step Recommended Workflow

Client fills the form

Independently or with the team during the first call

Team validates essentials

Check budget clarity, scope completeness, and decision readiness

Photos and floor plan uploaded

Site photos, existing plan, any constraints documented

Style references tagged

Pinterest boards, hotel references, like/dislike keywords logged

DesignAI concept brief generated

Structured output fed into concept generation engine

This form is intentionally structured so answers can be used both by a human designer and an AI onboarding engine. Complete as much as possible before concept development begins.

The Quick Qualification Layer

A key differentiator of this form is the built-in qualification scoring system. Before committing designer bandwidth, segment the lead into one of three categories.

Criterion	Low-fit	Moderate-fit	High-fit
Budget clarity	Vague or unrealistic	Range known, some flexibility	Clear band and contingency known
Decision readiness	Exploring only	Interested, comparing options	Ready for concept / design proposal
Scope clarity	Fragmented or undecided	Mostly defined	Rooms, deliverables, and expectations clear
Style articulation	No direction yet	Partial references	Strong references + clear likes/dislikes
Execution intent	No timeline urgency	Medium-term plan	Clear start and move-in target

Lead segmentation: 4–5 High-fit → Proposal-ready. 2–3 High-fit → Concept-ready. Mostly Low/Moderate → Discovery-only. Do not commit full design bandwidth to discovery-only leads.

Section-by-Section Guidance

Client & Project Basics

Capture the full administrative record upfront. The expected move-in date and preferred design timeline together reveal how serious and time-bound the client is. A client with a clear move-in date is a higher-intent lead than one who says “sometime next year.”

Always capture the primary decision-maker's contact — not just the person filling the form. In Indian households, the form is often filled by one family member while another holds final approval.

Household & Lifestyle Mapping

This section feeds directly into space zoning, material durability selection, and layout logic. An elderly parent requires different hardware, clearances, and lighting than a working couple. Pets require different flooring and surface choices. Work-from-home requirements determine acoustic zoning and lighting layers.

Maintenance preference is underasked and highly predictive. A client who wants ‘low maintenance’ should not be given high-gloss surfaces, white fabrics, or open shelving — regardless of how beautiful the concept is.

Scope of Design

The modular vs turnkey vs hybrid question is the single most important scope clarifier. Many billing disputes originate from scope misunderstanding at this stage. Capture civil, electrical, and plumbing separately — each has different vendor and timeline implications.

If the client ticks ‘turnkey’ but gives a budget that covers only modular, there is a fundamental misalignment. Surface it here.

Budget & Commercial Alignment

The “must-stay-within number” is more useful than the budget range. It tells you the floor below which the client's expectations cannot be met. The contingency provision question reveals financial maturity — clients who have no contingency provision are higher-risk on budget overrun conversations.

Phase-wise execution and EMI sensitivity indicate cash flow constraints. Factor these into your proposal structure — milestone-based payments and phase-based scope are not weaknesses; they're professional accommodation of client reality.

Style Intelligence for DesignAI

This section is the AI engine input. Like/dislike keywords, reference homes, and “what should the design never feel like” are the three highest-signal inputs for style vector generation. The negative definition (“never feel like”) is often more precise than positive preferences.

When a client says ‘never feel like a showroom’ or ‘never feel clinical’ — these are strong signals. They eliminate entire style directions and save revision cycles.

Room-by-Room Functional Inputs

This section converts directly into the room list, BOQ structure, and layout planning priorities. Each room answer has a downstream implication. A kitchen with a full appliance list (chimney, built-in oven, dishwasher) has completely different space, plumbing, and electrical requirements than a standard modular kitchen.

Capture the utility and laundry area needs explicitly — they are often forgotten in the initial brief but are daily-use spaces that significantly affect quality of life.

Site Inputs & Constraints

Structural constraints and builder restrictions are non-negotiable — knowing them early prevents concept redesigns mid-project. Vastu requirements and existing furniture to retain both affect layout flexibility. Lighting and ventilation issues are site conditions that design must work around, not ignore.

Problem areas the client wants solved urgently are conversion opportunities. Address them explicitly in your concept presentation — showing that you understood and solved the specific pain point is a powerful closing tool.

Conversion & Next Step

This section completes the qualification picture. A client with a clear decision timeline and no parallel quotations in process is a higher-priority lead. The consent to use data for AI concept generation is required before feeding inputs into the DesignAI engine.

Always ask about parallel quotations — diplomatically. A client comparing 4 studios simultaneously needs a different conversion strategy than one who has already chosen Studio Matrx as their preferred partner.