Insurance Renewal Cost Comparison Board

4.00

Derivation Chain

Step 1 Renewable insurance rebalancing

→

Step 2 2–3x premium spike at renewal

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Step 3 Objective comparison of maintain vs. switch vs. surrender value

Problem

Policyholders around age 50 with renewable insurance plans receive renewal notices with premiums jumping 2–3x, but have no independent tool to compare the actual financial impact of three options: maintaining existing coverage, switching to a new product, or collecting the surrender value. They rely on insurance agents with conflicting interests, or attempt manual Excel calculations that miss critical variables (cumulative premiums per renewal cycle, surrender value trends, coverage gap risks), leading to judgment errors worth thousands of dollars.

Solution

Upload a photo of your current insurance policy on the web or enter key details (premium, renewal cycle, coverage details, payment period) to get visual graph comparisons of total premiums paid, total coverage, and surrender values across 10/20/30-year scenarios (maintain/switch/cancel). Also provides coverage gap risk assessment and a pre-switch disclosure obligation checklist.

Target: Ages 48–58, holders of renewable indemnity health insurance or cancer insurance, who have received a renewal notice or are 1–2 years from renewal, seeking an independent decision tool beyond their insurance agent

Revenue Model: Free basic comparison (3 scenarios). Premium: customized product switch recommendation Report PDF at $3.75 per transaction, Monthly Subscription at $7.50 (unlimited simulations + renewal alerts)

Ecosystem Role: Supplier

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

3.0/5

U Urgency

5.0/5

M Market

4.0/5

R Realizability

4.0/5

V Validation

4.0/5

NUMR-V Scoring System

N Novelty	1-5	How uncommon the service is in market context.
U Urgency	1-5	How urgently users need this problem solved now.
M Market	1-5	Market size and growth potential from proxy indicators.
R Realizability	1-5	Buildability for a small team with realistic constraints.
V Validation	1-5	Validation signal quality from competition and demand data.

SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (70%)

Tech Complexity

29.3/40

Data Availability

20.6/25

MVP Timeline

20.0/20

API Bonus

0.0/15

Feasibility Breakdown

Tech Complexity	/ 40	Difficulty of core implementation stack.
Data Availability	/ 25	Practical availability and cost of required data.
MVP Timeline	/ 20	Expected time to ship a usable MVP.
API Bonus	/ 15	Bonus for viable public API leverage.

Market Validation (56/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

14.0/20

Revenue Signals

10.5/15

Pick-Axe Fit

10.5/15

Solo Buildability

7.0/10

Validation Breakdown

Competition	/ 20	Signal quality from competitor landscape.
Market Demand	/ 20	Demand proxies from search and mention patterns.
Timing	/ 20	Fit with current shifts in tech, behavior, and regulation.
Revenue Signals	/ 15	Reference evidence for monetization viability.
Pick-Axe Fit	/ 15	How well the concept serves participants in a trend.
Solo Buildability	/ 10	Practicality for lean-team implementation.

Technical Requirements

Frontend [medium] Backend [medium] Data Pipeline [low]

Dashboard