White-space analysis: Which unmet need is worth building for?

Advance an unmet need when you can explain who experiences it, what they use today, why they would switch and how enough of those buyers could find a profitable offer. White-space analysis brings those questions together so a product team can choose between developing a concept, revising it and keeping the current range.

An empty square on a positioning map is a place to investigate. The investment decision needs a buyer, a buying occasion and a workable route to market. A high-protein breakfast drink makes a useful example because the team has to compete with both drinks on the shelf and the breakfast routine the shopper already has.

Check what the proposed gap actually contains

Start with available products and the job each offers to do. Premier Protein's chocolate shake lists 30 grams of protein and 160 calories. Huel's Ready-to-drink comparison lists a 400-calorie meal drink and describes breakfast or lunch as its use. Those are different propositions even though both can appear on a protein-versus-price map. Protein content alone leaves much of the buyer's decision unexplained. Source: Huel Ready-to-drink product comparison.

Include substitutes outside the drink category. A commuter might buy coffee and a pastry, bring toast from home or wait until arriving at work. Ask what happened on a recent morning, what they bought, what they spent and which part of that routine they would change. For the interview work that establishes the problem, see our customer-needs analysis guide.

Write the opportunity around the unresolved outcome. “A breakfast I can carry and finish during the commute” gives the team something to investigate. “A 30-gram protein drink” has already committed it to one response. Test whether the problem concerns hunger, preparation, portability, taste, price or a combination that current choices leave unresolved.

Put two complete concepts against the existing routine

Consider a drinks team that already sells a protein shake. It is exploring a breakfast drink for grocery shoppers who commute on at least three workdays a week. The concepts, response counts, costs and coverage figures in the following example are illustrative.

Concept A is a shelf-stable 330 ml breakfast drink with 20 grams of protein, priced at $3. Concept B is a chilled 500 ml drink with 30 grams of protein, priced at $4. Both promise a portable breakfast. Their size, storage requirements and checkout prices give the buyer different tradeoffs to evaluate.

For an initial comparison, randomly assign 200 eligible buyers to two groups of 100. Each buyer sees one complete concept alongside the usual breakfast they described, with the option to keep that routine. Ask which they would choose for the specified workday. Then ask concept choosers which purchase they expect the new drink to replace. Keep the answer about replacement attached to that person's choice.

The larger drink leads the initial choice count by four people. Its extra choices also contain more expected transfers from the existing range. Moving a buyer from a $0.70 contribution shake to a $0.60 contribution breakfast drink loses $0.10 on that purchase under these assumptions.

Use the counts to calculate a contribution comparison per 100 concept respondents. A adds 26 × $0.90 + 16 × ($0.90 − $0.70) = $26.60. B adds 16 × $0.60 + 30 × ($0.60 − $0.70) = $6.60. These conditional calculations use stated choices and reported replacement intentions. They help select the next concept to investigate. Paid purchases will establish the actual movement.

Give the opportunity a distribution boundary

A promising response from the right buyer still needs a place to sell. Suppose the retailer's catchment contains 12,000 households that meet the audience definition. The planned stores and stock coverage make A available to 75% of them and B to 40%. That gives A 9,000 reachable households and B 4,800.

Use household-level availability where possible. A shopper visiting two candidate stores should enter the reachable base once. For chilled B, confirm that refrigerator space, delivery frequency and shelf life can support the coverage assumption. A retailer listing agreement and consistent on-shelf availability are separate inputs to check.

Assume each launch requires $18,000 in additional setup spending. A would need 18,000 ÷ 0.90 = 20,000 incremental packs to cover it. B would need 18,000 ÷ 0.60 = 30,000. Spread over their reachable households, those requirements are 2.22 and 6.25 packs respectively. The averages include households that never buy. Purchases diverted from the existing shake would raise both requirements.

This calculation turns “a large breakfast market” into a specific commercial question. Can A generate enough additional purchases from 9,000 reachable households during the launch window? B needs more packs from a substantially smaller distribution base, while its concept responses suggest heavier movement out of the current range.

Copy the screen before approving development

Use one sheet per opportunity. Fill the evidence column with a source or a question to resolve, so an attractive concept cannot acquire a passing score through assumptions left out of view.

In this example, A deserves the next development and buying test. B needs a lower cost, better access or stronger evidence of additional occasions before earning comparable spending. Keeping the current range remains a valid choice if A's prototype disappoints or its paid trial falls below the contribution requirement.

Sapien can help compare the complete concepts with a simulated audience, explore the reasons behind choices and investigate differences between buying routines. Bring the current substitutes and the distribution constraints into that comparison. Then commission the physical use test and paid pilot around the uncertainties that could still change the investment. Source: How Sapien works.