SaaS Feasibility for Solo Founders — Checklist

SaaS Feasibility Checklist — For Solo Founders

This checklist helps you decide whether building software is the right way to create durable leverage for your offer — or whether it will distract you from selling and learning. Work through each section honestly. Where helpful, add short notes or rough numbers. At the end use the decision rules to choose: build, test a lighter alternative first, or keep iterating on the service.

How to use it

Mark each question Yes, Partial, or No. If you prefer numbers, score Yes=1, Partial=0.5, No=0. Tally the sections and read the decision guidance at the end. Treat scores as directional, not absolute.

Problem & Market Fit

• Do at least several customers clearly describe the same painful problem you plan to solve? (Yes / Partial / No)
• Have you observed people paying for work-arounds, manual services, or adjacent solutions today? (Yes / Partial / No)
• Is the problem frequent enough that automation saves repeated time or cost for the buyer? (Yes / Partial / No)
• Are those customers accessible through channels you can reach affordably? (Yes / Partial / No)

Customer Value & Willingness to Pay

• Can you describe a concrete outcome customers will get from the software? (Yes / Partial / No)
• Would customers prefer paying for software to the manual alternative? (Yes / Partial / No)
• Have you validated price sensitivity with actual pre-sales conversations or test offers? (Yes / Partial / No)
• Is the potential price high enough to justify ongoing support and hosting? (Yes / Partial / No)

Differentiation & Defensibility

• Is there a simple and defensible advantage you can maintain (data, integrations, workflow knowledge, niche focus)? (Yes / Partial / No)
• Can you get to a useful product before competitors clone it? (Yes / Partial / No)
• Does the market reward the combination of features you plan to offer (vs. a single-point utility)? (Yes / Partial / No)

Minimum Viable Automation (MVA) & Alternatives

Software isn't the only way to deliver automation. Consider cheaper, faster alternatives first:

• No-code tools and integrations (Zapier, Make, Airtable) to prove the workflow. (Yes / Partial / No)
• Concierge or "Wizard of Oz" service (manual backend, automated front-end) to measure demand. (Yes / Partial / No)
• Pre-built templates, spreadsheets, or plugins sold as digital products. (Yes / Partial / No)
• Embedded automation inside existing platforms (Slack bots, Notion templates, Google Workspace add-ons). (Yes / Partial / No)
• Microsaas approach: narrow vertical focus with limited features to reduce scope. (Yes / Partial / No)

Revenue Model & Recurrence

• Is recurring revenue realistic (subscription, seats, usage fees) rather than one-off? (Yes / Partial / No)
• Is the monthly or annual price likely to exceed ongoing support and hosting per-customer? (Yes / Partial / No)
• Can you reasonably retain customers month-to-month or year-to-year? (Yes / Partial / No)

Build & Maintenance Economics (rough checks)

Estimate at a high level. Use conservative assumptions.

• Rough initial build effort: how many developer-months to MVP? (enter number)
• Average developer cost (or contractor rate) you’d pay per month: (enter dollar amount)
• Estimated one-time build cost = developer-months × monthly rate (calculate)
• Ongoing maintenance, hosting, support: plan for ~15–30% of initial build per year as a first pass. Include security, backups, and minor improvements. (Yes / Partial / No — have you estimated?)
• Do you have a plan and budget for customer support and incident response? (Yes / Partial / No)

Skills, Time & Focus

• Do you have (or can you afford) the technical skills to build and maintain the product reliably? (Yes / Partial / No)
• Would building software distract you from selling and learning in the short term? (Yes / Partial / No — inverted)
• Can you secure a technical co-founder, contractor, or agency with aligned incentives? (Yes / Partial / No)

Go-to-Market & Sales

• Do you have clear early adopter channels (communities, email list, partners) to get trial users? (Yes / Partial / No)
• Is the sales cycle short enough for early revenue (days–weeks rather than many months)? (Yes / Partial / No)
• Can you convert pilots into paying customers with a small, repeatable process? (Yes / Partial / No)

Risk & Dependencies

• Are there regulatory, privacy, or compliance costs that materially affect feasibility? (Yes / Partial / No)
• Do you depend on a single third-party API or platform that could change terms or break your product? (Yes / Partial / No)
• Is long-term support feasible if the product grows beyond what you can personally manage? (Yes / Partial / No)

Lightweight Financial Check

1. Estimate number of customers at realistic early scale (e.g., 50–200 for niche microsaas).
2. Multiply by price >= minimum that covers per-customer support + hosting. If revenue won't cover even modest maintenance, software may be a bad fit.
3. If breakeven requires hundreds or thousands of customers, consider a narrower feature set or different monetization.

Quick Validation Experiments (do these before full build)

• Landing page + pre-order or waitlist: measure paid interest from real visitors.
• Concierge MVP: deliver the result manually and charge the customer to learn willingness to pay.
• No-code prototype: simulate automation with integrations and simple UI to test the workflow.
• Paid pilot with one or two customers under a short contract and clear success metrics.

Decision Rules (simple)

After scoring, use this practical guidance:

• If most key items in Problem & Market Fit, Value & Willingness to Pay, and Revenue Model are Yes, and your rough financial check looks reasonable → pursue a small, focused MVP (microsaas) and plan experiments to convert pilots to revenue.
• If questions are mixed (many Partial answers), try fast validation experiments and MVA alternatives (no-code, concierge) before investing in custom software.
• If many No answers in core fit/value/revenue areas → do not build software now; keep selling/learning and revisit after more customer validation or a pivot to a clearer problem.

Next Steps Template

1. Run one or two validation experiments within 30 days (choose from the list above).
2. Capture results: conversion rate, price sensitivity, number of paying customers, support effort per customer.
3. If experiments show paid demand and acceptable economics, create a narrow scope MVP backlog focused on the smallest automation that materially changes customer cost or time.
4. Plan for ongoing costs: budget an annual maintenance reserve and a simple support playbook.

Notes: This checklist is designed for fast, pragmatic decisions — not to replace a full product plan. Prefer experiments that involve real customers paying or committing. When in doubt, choose an approach that preserves your time to keep selling and learning.