How did LSAR achieve a 75% profit increase for a packaged water company?

Through ethnographic research at Indian weddings, LSAR identified that the real buyer was the wedding host — not the guest. The host's goal was to surprise guests. This single insight changed the entire product direction. The brief changed from 'make a better bottle' to 'create a surprise.' A volleyball-shaped 300ml bottle was selected after testing three concepts against behavioral criteria. The result: 75% profit increase with zero additional material cost.

What is the iball case study?

The iball case study demonstrates how the LSAR Product Decision Framework transformed a commodity PET water bottle into a premium product. The same factory, same materials, and same water produced a 75% profit increase through one product decision — identifying that the buyer was the wedding host, not the drinking guest, and that the host's goal was to surprise guests.

What is ethnographic research in product decisions?

Ethnographic research in product decisions means observing real users in real situations — not surveys or focus groups. In the iball case, it meant attending Indian weddings and watching how hosts and guests actually behaved with the product. This revealed that the buyer and user were different people with different goals — an insight no survey would have produced.

What does LSAR stand for in the iball case study?

LSAR stands for Listen, Structure, Analyse, Resolve. In the iball case: Listen — ethnographic research at weddings revealed the host was the real buyer; Structure — brief reframed around the keyword SURPRISE; Analyse — three concepts tested, volleyball selected; Resolve — BUILD verdict, 75% profit increase achieved.

What is the LSAR Framework?

The LSAR Framework is a 4-phase product decision system — Listen, Structure, Analyse, Resolve. It replaces founder assumptions with behavioral evidence before capital is committed to any product.

What does LSAR stand for?

LSAR stands for Listen, Structure, Analyse, Resolve — the four phases of the product decision system developed by L Saravanan, India's Product Decision Strategist.

How is LSAR different from Design Thinking?

Design Thinking asks how to build something people want. LSAR asks whether you should build it at all. LSAR operates before Design Thinking begins — it makes the product decision before execution starts.

How is LSAR different from Product-Market Fit?

Product-Market Fit is a post-launch mirror — it measures whether your product found its market after you built it. LSAR is a pre-commitment shield — it determines whether your product deserves to be built before capital is invested.

Can LSAR be applied to digital products?

Yes. LSAR is completely universal. It applies to SaaS, digital applications, D2C brands, FMCG, food, physical manufacturing, and service design. The behavioral evidence principles work across all industries.

What is the output of the LSAR Framework?

One clear, evidence-backed product direction with a Build, Refine, or Stop verdict. Alongside: validated problem statement, target audience profile, pricing direction, demand validation data, eliminated directions with documented reasons, decision rationale document, and capital allocation guidance.

What is a Product Decision?

A Product Decision is the process of determining whether a product should be built, improved, launched, or stopped — based on behavioral evidence rather than assumptions. It happens before capital is committed to development, tooling, or inventory.

What is a Product Decision Strategist?

A Product Decision Strategist ensures founders make the right product decisions before investing serious capital in a new product. L Saravanan, India's Product Decision Strategist, applies the LSAR framework to give founders one clear direction before capital is committed.

Why do products fail even when built correctly?

Products fail when the wrong product is built — not because of poor execution. Most founders skip the Product Decision phase and move from idea to investment based on gut feeling or unverified opinions. Without behavioral evidence, even a perfectly built product becomes unsold inventory.

What is the LSAR Framework?

LSAR stands for Listen, Structure, Analyse, Resolve — a 4-phase product decision system developed by L Saravanan. It replaces founder assumptions with behavioral evidence before capital is committed to any product.

When should a Product Decision be made?

Before investing capital in development, tooling, packaging, or inventory. The ideal time is when a founder has a product direction but has not yet committed capital. This stage prevents ₹10L–₹25L+ in capital loss and 6–12 months of wasted time.

How is this different from product consulting?

Product consulting gives opinions. The LSAR framework gives decisions — one specific product direction backed by behavioral evidence from real users, with a clear Build, Refine, or Stop verdict.

Who should work with L Saravanan?

Founders and CEOs across India preparing to invest ₹10L–₹25L+ in a new product within the next 30–90 days. Especially founders whose product direction is still flexible and who need behavioral evidence before capital is committed.

What does a Decision Sprint deliver?

A validated Problem Statement, Target Customer Profile, Assumption Map, Behavioral Evidence Report, Eliminated Directions List, and next engagement recommendation — in 7 to 10 days for ₹25,000.

The cost of a wrong decision is ₹25L+.
The cost of the right one starts at ₹25,000.

Every engagement begins with a 15-minute conversation. No forms. No commitment. Everything else follows from there.

Three engagements. One framework.

The right engagement is determined after the first conversation — based on your product, your stage, and what evidence is needed to reach a reliable verdict.

Engagement 01

Decision Sprint

Direction clarity before committing to a full engagement. Desk research only. Closes with a clear recommendation on what is needed next — and why.

7–10 Days · Desk research · Fixed scope

₹25,000

Fixed · No variables

Engagement 02 — Most Relevant

Decision System

Full behavioral validation. One product direction — backed by evidence from real users in real situations. For founders preparing to spend ₹10L–₹25L+ on a new product.

Product defined · Target user known ₹75,000

Multiple directions · High assumptions ₹1,00,000

Category unclear · Field validation needed ₹1,50,000

3–5 Weeks · Includes ethnographic field research · Tier determined by complexity

₹75K–₹1.5L

Based on complexity

Engagement 03

Decision + Engineering

Full decision clarity plus build-ready engineering outputs. For founders who need the decision made and the product ready to build immediately after.

8–12 Weeks · Scoped after the first conversation

₹3,50,000+

Quoted after scoping

How the engagement works.

Every engagement begins with a conversation. Everything else follows from there.

The tier is never chosen before the conversation. It is determined after — based on one factor only: how much behavioral evidence is needed to reach a reliable verdict. You do not choose a tier to fit a budget. The tier fits the complexity of your product decision.

Prototype and production costs are the founder’s — not included in any engagement. The scope is the decision. The direction. The evidence.

Common Questions

Why should I do this before building?

Because you are about to spend serious money on a new product. Most product failures happen before execution — when the wrong product is approved based on assumption rather than behavioral evidence. This engagement ensures what gets built is what should get built — before the spending begins.

What is the difference between Decision Sprint and Decision System?

A Decision Sprint uses desk research only — structured assumption mapping and secondary evidence. It closes with a directional recommendation and next step guidance. A Decision System uses ethnographic field research — real users in real situations. It closes with one clear Build, Refine, or Stop verdict backed by behavioral evidence. The Sprint often leads into a System once the initial mapping is complete.

How is the Decision System tier determined?

After the first conversation. The tier depends on one factor: how much behavioral evidence is needed to reach a reliable verdict. A product with a clearly defined user in a known context needs less research than a product where buyer and user are different people in a new category. The tier is not negotiated — it is named based on complexity.

How long does each engagement take?

Decision Sprint — 7 to 10 days. Decision System — 3 to 5 weeks. Decision + Engineering — 8 to 12 weeks. These timelines reflect real behavioral research. Real validation takes time. That time is what makes the verdict reliable.

How is this different from consulting?

Consulting gives opinions and recommendations based on experience. This process produces one verdict — backed by behavioral evidence from real users in real situations. Not a report with multiple options. One direction. Build, Refine, or Stop. No ambiguity.

What happens after the verdict?

If Build — you receive a clear product direction, evidence documentation, and build sequence guidance. If Refine — specific adjustments needed before proceeding are named clearly. If Stop — documented reasons why, and in most cases a direction that does deserve to be built instead. Every outcome includes a rationale document.

The right decision starts with one conversation.

15 minutes. No commitment. No forms.

Talk to L Saravanan Limited engagements.

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LSAR Product Decision Engagement Pricing — L Saravanan

L Saravanan, India’s Product Decision Strategist, offers three engagement types. All engagements begin with a free 15-minute conversation. Decision Sprint ₹25,000 — 7 to 10 days, desk research, directional clarity. Decision System ₹75,000 to ₹1,50,000 — 3 to 5 weeks, ethnographic field research, one Build/Refine/Stop verdict. Decision plus Engineering from ₹3,50,000 — 8 to 12 weeks, full decision clarity plus build-ready engineering outputs.

Decision Sprint — ₹25,000

Direction clarity before committing to a full engagement. Desk research only. Closes with a clear recommendation on what is needed next and why. 7 to 10 days. Fixed scope. No variables.

Decision System — ₹75,000 to ₹1,50,000

Full behavioral validation using ethnographic field research. One product direction backed by evidence from real users in real situations. Three tiers: Standard ₹75,000 for products with defined direction and known target user. Advanced ₹1,00,000 for multiple directions and high assumption load. Complex ₹1,50,000 for unclear categories requiring field validation. Tier determined after the first conversation based on complexity — not negotiated.

Decision plus Engineering — from ₹3,50,000

Full decision clarity plus build-ready engineering outputs. For founders who need the decision made and the product ready to build immediately after. 8 to 12 weeks. Scoped after the first conversation.

The cost of a wrong decision is ₹25L+. The cost of the right one starts at ₹25,000.