Summary: Treat this as an evidence-first, hypothesis-driven recovery: measure why users don’t adopt, remove blockers that prevent immediate value, then iterate. Focus first on quick wins that increase perceived value and reduce friction.
Diagnostics (30 days)
- Instrumentation & metrics
- Ensure events for exposure, click-through, task start, completion, failure, and time-savings are tracked per user/segment.
- Calculate conversion funnel and where 95% drop occurs; track NPS/CSAT for users shown the feature.
- Qualitative research
- Run 1:1 interviews (10 target users: mix of power/occasional), in-app surveys at drop-off points, and recorded usability tests to observe friction.
- Technical health
- Audit logs for errors, latency, permission/role issues, integrations failing, data mismatches. Check rollout flags and A/B targeting correctness.
- Commercial/organizational review
- Speak with sales/CS to surface objections, contractual/pricing constraints, and enablement gaps. Review onboarding materials and SLAs.
Top-priority remediation (0–60 days) — prioritized by impact/effort
A. Fix critical technical blockers (Highest impact, low/mid effort)
- Resolve errors/integration failures causing silent failures. Add clear error states and retry UX.
- Ensure permissions and entitlements are correct; provide admin override.
B. Reduce friction & increase immediate value (High impact, mid effort)
- Add a one-click “run once” demo that executes with sample data to show concrete time saved.
- Surface ROI micro-metrics inline (e.g., “Saves ~X mins per task” and preview results).
C. Onboarding & contextual help (Mid impact, low effort)
- Contextual coach marks on first exposure; short interactive walkthrough; “Try now” CTA in product flows where manual work currently lives.
- Create short explainer video and 1-page admin setup doc for sales/CS.
D. Pricing and packaging adjustments (Mid impact, variable effort)
- Offer a free trial quota or pilot credits to remove procurement friction; enable opt-in pilot for strategic accounts.
- Re-evaluate pricing to align perceived value (e.g., per-automation seat vs consumption).
E. Organizational enablement (Mid/low effort)
- Train sales/CS with battlecards, ROI calculators, and walkthroughs; include automation in demo scripts and proposals.
- Create success playbook for pilots with KPIs and timelines.
Follow-up experiments (60–120 days)
- Run A/B tests: contextual CTA vs global, walkthrough vs none, free-trial vs gated.
- Measure lift in activation, task completion, retention, and time-saved per user.
- Iterate based on quantitative lift and qualitative feedback.
Architecture/operational steps (ongoing)
- Add health dashboards, SLOs for automation runs, and alerting for failures.
- Implement feature flags for phased rollouts and quick rollback.
- Automate telemetry into CRM to let sales cite live adoption numbers.
KPIs to monitor
- Exposure → activation → completion conversion
- Time saved per completed automation
- Pilot-to-paid conversion rate
- Error rate and mean time to recovery
- CSAT/NPS among users exposed
Expected timeline and outcomes
- 0–14 days: Instrumentation, critical bug fixes, admin fixes — expect immediate lift if silent failures present.
- 14–45 days: Demo workflow + contextual onboarding and pilot offers — expect measurable activation uplift.
- 45–120 days: Pricing pilots, A/B tests, scale rollout with enablement — sustained adoption growth toward target.
Why prioritized this way
- Technical failures and permission issues can fully block adoption—fixing them yields immediate returns.
- Demonstrating visible ROI and reducing first-use friction converts intent to action.
- Pricing and organizational changes scale adoption once product delivers clear, measurable value.
