Product Development Checklist for SaaS

Interview 10-15 target customers across roles to map ideal customer profile and jobs-to-be-done, then validate with sales call recordings and support tickets. Align messaging and features to the pains buyers already pay to solve.

Draft 3-5 hypotheses with measurable acceptance criteria, for example X% of trial workspaces complete a core workflow in 24 hours. Set kill or double-down thresholds so you avoid sunk-cost bias.

Record and annotate signup, onboarding, and paywalls of top 5 competitors, capturing value metrics, discounts, and upgrade triggers. Use these insights to differentiate and avoid race-to-the-bottom pricing.

Run a Van Westendorp survey to gauge price ranges, then test anchored pricing in live quotes to see where procurement pushes back. Feed findings into packaging and discount guardrails.

Pick a leading indicator of delivered value, such as weekly active projects or processed events, and track activation and day-7 retention as guardrails. Tie objectives and key results directly to these metrics.

Assess GDPR, HIPAA, and SOC 2 expectations, then define where data can live and how it is logged. Make vendor and architecture choices that satisfy enterprise security questionnaires later.

Decide pooled vs siloed tenancy and document isolation via row-level security, schema-per-tenant, or separate clusters. Match the approach to enterprise risk, compliance scope, and cost targets.

Define roles and permissions for org, workspace, and object scopes, persist grants centrally, and enforce at the API boundary. Avoid scattering authorization logic that is hard to audit later.

Adopt a provider like Okta or open-source alternatives, issue short-lived tokens, and roadmap SAML and SCIM provisioning for enterprise. Ensure session management aligns with zero-trust principles.

Apply per-tenant quotas, burst limits, and IP reputation checks via NGINX, Envoy, or a managed gateway. Protect shared compute and third-party quotas from attack and accidental spikes.

Version APIs, guard migrations behind flags, and maintain a rollback path with online schema changes. Reduce customer disruption and midnight fire drills.

Use OpenTelemetry for consistent telemetry, route to Datadog or Grafana, and alert on SLO breaches. Triage with error grouping in Sentry and tag by tenant to size impact fast.

Provide magic links or WebAuthn to remove password friction, and capture company domains for team creation. Add rate limits and bot checks to reduce fake signups.

Define your activation moment, then drive users with a checklist that completes on verified events rather than clicks. Reward completion with clear next steps and value reveals.

Provide pre-populated objects or a sandbox workspace so new users see real outputs in minutes. Trigger tours only when context is available to avoid noise.

Implement robust CSV import with schema detection and idempotent upserts, and ship native integrations that unlock top jobs-to-be-done. Prioritize connectors that shorten time-to-value.

Track time-to-signup, time-to-first-event, and p95 page load, then block merges that regress budgets using CI checks. Faster first value reduces trial abandonment and support load.

Collect NPS and qualitative notes after activation, then review session replays for rage clicks and dead ends. Close the loop with rapid UX fixes and changelog updates.

Tie plans to seats, tracked events, or automations that scale with delivered value, and make upgrades obvious in-app. Avoid metrics that punish usage or create surprise bills.

Use a durable event stream via Kafka or cloud queues, dedupe with event IDs, and reconcile usage against the billing provider each cycle. Prevent double charges and revenue leakage.

Use Stripe, Paddle, or Chargebee for cards, ACH, and wallets, support proration and tax/VAT rules, and send branded invoices and receipts. Test edge cases for upgrades and mid-cycle changes.

Set fair usage limits, watermark exports, and cap heavy compute to protect COGS while encouraging upgrades. Monitor conversion and abuse rates weekly.

Offer dynamic save offers based on usage patterns, downgrade and pause paths, and capture structured churn reasons. Feed insights into product and pricing experiments.

Enable seat tiering, volume discounts, and add-ons such as SSO or audit logs so sales can assemble enterprise offers without custom code. Keep SKUs simple to avoid billing errors.

Define event names, properties, and owners, review via PRs, and validate with automated tests in CI. Prevent analytics drift and metric disputes.

Build Mixpanel, Amplitude, or PostHog dashboards for day-1, day-7, and week-4 retention and activation. Compare cohorts before and after changes to isolate impact.

Use LaunchDarkly or open-source flags to target internal, beta, and GA cohorts, and include a kill switch for fast rollback. Log exposures for accurate experiment analysis.

Use sequential or fixed-horizon calculators to avoid peeking, and log assignments to a warehouse for auditability. Report uplift with confidence intervals, not just percentages.

Recruit 8-12 design partners across segments, share prototypes, and exchange roadmap access for deep feedback. Turn insights into validated backlog items with owners and dates.

Ask the 40% very disappointed question and NPS, segment by cohort and plan, and track expansion revenue from PMF-positive accounts. Use results to prioritize big bets over minor tweaks.

Define availability and latency targets for APIs and jobs, tie alerts to SLO burn, and gate launches on error budget health. Keep reliability aligned with customer expectations.

Use GitHub Actions or CircleCI to run tests and security scans, canary 1-5% of traffic first, and gate database migrations with flags. Reduce blast radius and downtime risk.

Automate nightly backups, run quarterly restore drills, and document RTO and RPO so on-call can execute under pressure. Verify restores at the application layer, not just databases.

Publish real-time status and incident history, pre-draft customer updates, and run blameless postmortems with action items and owners. Build trust through transparency and speed.

Provide step-by-step guides, short Loom videos, and architecture diagrams, and version docs alongside releases. Measure search queries and fix gaps proactively.

Define first 30-60-90 day playbooks, QBR templates, and health scores that trigger outreach when usage dips or expansion opportunities appear. Integrate signals into CRM for timely follow-up.