A

Digital Legacy Organizer Workbook

3.85

Derivation Chain

Step 1 Digital legacy and account organization
→
Step 2 No systematic framework for cataloging, transferring, or deleting online accounts, subscriptions, and digital documents

Competitor references

No usable source links are available for this idea. Its signal notes and scores need independent verification.

Problem

Adults aged 50–65 hold an average of 60–100 online accounts (portals, shopping, banking, social media, subscriptions) but cannot even compile a full list. In the event of a sudden accident or illness, family members have no way to access digital assets (financial accounts, insurance, photos, documents), and auto-payments often continue for months after death. Even those who want to organize in advance don't know where to start.

Solution

Users follow a category-based checklist (finance, shopping, social media, subscriptions, government, other) to (1) catalog all accounts, (2) classify each by priority (must-keep / transfer / delete), (3) generate a 'Digital Power of Attorney' template for emergency family access, and (4) compile a list of active subscriptions with cancellation procedure links, all exported as an encrypted PDF.

Target: Ages 55–65, active digital service users, considering how to hand off digital assets to spouse or adult children, wanting to prepare for unexpected situations
Revenue Model: Basic checklist + 10 accounts organized free. Unlimited accounts + power of attorney generation + encrypted PDF + annual update reminders at $11.20/year.
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
5.0/5
V Validation
3.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (72%)

Tech Complexity
29.3/40
Data Availability
23.1/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

Market Validation (51/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
7.5/15
Solo Buildability
8.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

Frontend [medium] Backend [medium] Infrastructure [low]
Dashboard