ryanwold.net

A civic-minded citizen seeking the singularity

Back to Entries

Saturation, for Public Service

draft
Date: 2025-12-19
Tags: cx service analytics

Service Saturation Vision

A vision for public service delivery that aims for full reach and outcomes, not just incremental improvements or vanity metrics.

Why Saturation Matters

  • Upper-bound clarity: Every service has a total addressable population; defining that upper bound (e.g., all eligible veterans for VA benefits) creates focus and tension. It keeps teams from celebrating small percentage upticks that ignore who is still unserved.
  • Outcome > activity: Page views, thumbs up/down, and trust-score deltas often signal engagement, not impact. Saturation demands we track benefit fulfillment, cycle time, and cost-to-serve against the total eligible population.
  • Performance accountability: Treat services like portfolios with a return profile. Measure cost per outcome delivered, not effort spent. Tie CX to accounting-grade performance indicators instead of sentiment proxies.

Vision: 100% Service (Minus Opt-Outs)

  • Set the ceiling: Identify the total eligible population for each service, including edge cases and hard-to-reach segments. Publish the number and make it non-negotiable as the goal.
  • Define opt-outs: Respect autonomy; some people will decline. Make opt-out transparent and measurable so the goal remains 100% of all who want the service, not 100% of all contacted.
  • Obsess over completion: Optimize for completed journeys (application → decision → benefit in hand), not intermediary clicks. Success = eligibility confirmed, benefit delivered, and value realized.
  • Close the loops: Instrument drop-off points, queue times, denials, and rework. Iterate to eliminate friction, not to prettify the journey map.

Operating Principles

  • Targeted outreach from the TAM: Drive campaigns and channel strategy from the known upper bound. If 10% are unserved, design interventions for that 10%, not more A/B tests on the already-served 90%.
  • Throughput and capacity first: Capacity planning, staffing, and automation should be sized against the full eligible population. Right-size back-office processes before chasing UI polish.
  • Service-level contracts: Define service level objectives tied to the full population (e.g., “95% of eligible veterans receive benefits within X days”). Tie funding and accountability to these targets.
  • Evidence over vibes: Favor metrics like benefit uptake rate, first-pass approval rate, cycle time, and cost per delivered outcome. Sentiment scores are secondary diagnostics, not primary KPIs.
  • Equity as a constraint: Saturation is meaningless if gaps persist. Track saturation by demographic, geography, and channel; remove barriers where gaps appear.

Avoiding Vanity Traps

  • No more “engagement wins” without outcomes: A higher trust score or more page visits without increased completions is noise. Celebrate throughput and successful benefit delivery.
  • Instrument for real leakage: Track abandonment, reconsiderations, and appeals. Fix failure modes before adding new campaigns or content refreshes.
  • Guardrails for CX experiments: Require every experiment to show projected movement toward saturation of the eligible population, not just local lift on a page.

What Good Looks Like

  • Transparent saturation dashboard: Publicly track the total eligible population, opt-outs, in-progress cases, completed deliveries, and unresolved issues. Update regularly.
  • Ruthless prioritization: Backlog items must show how they reduce the gap to 100% service. Deprioritize work that cannot move saturation or equity metrics.
  • Accounting-grade ROI: Pair every initiative with cost-to-serve, capacity assumptions, and expected uplift in completed deliveries. Validate with post-implementation actuals.
  • Continuous removal of friction: Use journey analytics to identify the highest drop-off steps and attack them systematically. Success is fewer blockers, not just nicer interfaces.

Tone and Posture

Critical of vanity metrics but committed to a constructive path: set the upper bound, acknowledge opt-outs, and organize teams, funding, and measurement around closing the gap to 100% of people served. The goal is practical excellence—measured by outcomes delivered, costs managed, and equity achieved—rather than incremental polish that leaves most of the problem untouched.

By Ryan Wold · © 2025–2026 Ryan Wold

Licensed CC BY-NC 4.0. AI training requires a license — machine-readable terms.

Tip: $afomi on HandCash · afomi@handcash.io