Provenance
Last updated and provenance
This guide is maintained as editorial guidance, then checked against the public SaaStash methodology and representative dossiers so the validation and scoping advice stays grounded in real public research examples.
Who It's For
Use this guide if this is the question blocking the next decision.
- Founders running discovery calls before they commit build time.
- Agencies checking whether repeated client pain is product-grade or just consulting work.
- Operators testing whether a niche has enough urgency to justify a focused SaaS wedge.
Decision Signals
What strong opportunities usually reveal early.
- The buyer brings up the pain without needing to be convinced it exists.
- There is a recent trigger event, deadline, or internal pressure behind the problem.
- The workaround already costs money, delays work, or creates avoidable risk.
How To Use It
Follow the same order every time.
- Open with the current workflow and recent examples, not your product concept.
- Ask what is slow, manual, error-prone, or annoying enough to interrupt normal work.
- Probe for the moments that make the problem urgent, visible, or budget-worthy.
- Ask what they use today, what it costs in money or time, and what still frustrates them.
- Close by checking whether a narrower improvement would be worth paying for or piloting.
Common Mistakes
Where good ideas usually get ruined.
- Pitching features before the buyer has described the current workflow in detail.
- Asking leading questions that produce politeness instead of usable evidence.
- Ending the call without confirming what currently gets budget or attention.
Examples
Apply the framework to concrete SaaS opportunities.
- A call with a solo SaaS founder who spends month-end reconciling Stripe payouts and tax categories.
- An interview with a support lead measuring how many tickets should have been deflected by better automation.
- A conversation with a developer experience lead about the real cost of documentation drift.
Finance / Tax
Solo SaaS founder bookkeeping
Automated bookkeeping for one-person SaaS businesses that connects to Stripe, Lemon Squeezy, and Mercury.
AI / CX
AI support queue deflection
An AI support layer trained on your docs that drafts accurate replies and escalates only novel cases.
Marketing
Contact enrichment and intent routing
A real-time enrichment and intent scoring layer that cleans, scores, and routes leads before they hit the CRM.
Real-World Patterns
What keeps showing up across stronger categories.
- Support buyers talk about ticket repetition, escalation quality, and trust long before they talk about AI.
- Finance buyers usually reveal urgency through tax season, monthly close pain, or reconciliation cleanup.
- Developer buyers give away the real opportunity when they describe where the issue shows up in the toolchain.
How To Choose
Choose the idea that stays narrow and commercially clear.
- Keep the conversation short enough that the buyer stays concrete instead of drifting into theory.
- Bias toward recurring pain and recent examples rather than abstract opinions about tooling.
- Capture exact phrases because they usually become the strongest landing-page and outbound copy later.
A strong interview does not end with a yes. It ends with a clearer picture of the buying problem, the current workaround, and the level of product you would need to justify a switch.
Run this script against one or two niches, then compare what you hear against the public dossiers and the broader SaaStash dataset.
Next Step
Use the framework on real categories, then buy if the wider catalog helps
Use the public research surface to decide whether the full database will save you time, sharpen your shortlist, and justify a one-time purchase.