Better SaaS businesses start with better questions.
Guides to decide, design, build and launch. Practical methods, without guaranteed-outcome promises.
100 resources
SaaS unit economics: compare workload profiles, not just averages
Customers on the same plan can create very different operating costs. Examine workload profiles before judging the economics of an offer.
↗DevelopmentSaaS webhooks: handle duplicates, delays and replay safely
A webhook reports an external event; delivery does not prove that your business operation completed. Design validation, deduplication and recovery as separate responsibilities.
↗EntrepreneurshipTaking over an existing SaaS: an evidence-based handover checklist
A handover should let a new team understand, run and operate the product. Receiving a source archive is not the same as demonstrating operational independence.
↗ProductTesting a SaaS prototype without leading the participant
A prototype test examines whether someone can understand and complete a workflow. Describe the situation and desired outcome without revealing the interface path.
↗AI & AutomationWhen an AI assistant should decline or fall back
An assistant needs explicit behaviour for missing information, restricted access and unsupported tasks. Fallback is part of the product experience, not merely an error message.
↗AI & AutomationWhere to place human approval in an automated workflow
Place approval immediately before the effect requiring human judgement. Approving too early authorises an unknown result; approving every internal step can make the workflow impractical.
↗AI & AutomationWorkflow reconciliation: compare expected and actual outcomes
An automation should show what ought to have happened and what actually happened. Reconciliation detects missing operations that success notifications cannot reveal.
↗MVPWriting SaaS acceptance criteria that a team can actually test
Acceptance criteria connect a starting condition, an action and an observable outcome. They make scope review possible without relying on words such as intuitive or seamless.
↗AI & AutomationAI SaaS guide: scope the workflow and evaluate quality
An AI SaaS should solve a specific task at an observable quality level. Choose the model after defining data boundaries, acceptable errors, human oversight and usage economics.
↗Your idea.
Our next SaaS.
Tell us about your idea No technical brief needed. Just a problem worth solving.