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What does the system buy you in content?

The VoC Content System is built so you ship more publishable work—posts, emails, one-pagers—with sales calls as the reference layer, not a folder nobody opens. This sheet estimates throughput + production hours and turns that into labor dollars and Phase 1 payback.

How the stack fits together: How B2B SaaS teams build scalable VoC content systems.

Benchmark from our own output log

Our own workspace log (same system family, ~Jan–Mar 2026) shows 70K+ words, 200+ estimated publish-ready pieces, and 147+ LinkedIn-style units in about 53 days. In practice that was more publishable output in about a month than we used to clear in a quarter—closer to a ~3× throughput story than “+50%.” Your team is not our team; use the piece counts below to model your own ratio, not ours.

newspaper Throughput & production time

Each item you actually ship counts once: LinkedIn post, customer email, nurture touch, sales one-pager, blog post, etc.

Your honest projection once drafts start from imported call text + playbooks. Our sprint looked like ~3× a typical prior month, not +50%—adjust to what you believe.

Drafting, editing, design handoff prep, rewriting after sales says "that is not how buyers talk," digging for proof. Not generic meetings—time spent making the asset.

You still edit for taste. You spend less time hunting quotes and restarting from zero.

This only scales total hours / month. Throughput lives in pieces / month above—high output with only a modest hour drop is normal once blank-page work shrinks.

After = 75% of today → 27 hrs / mo

Only if finance already tracks it—e.g. less freelance copy. Leave 0 if you are not sure.

Phase 2 · months billed per year

Training only: e.g. $3,000/mo in Y1 for 3 months, then 0 in Y2–Y3. Done-With-You: e.g. 12 each year at your program rate.

What counts as a publishable piece

  • · One LinkedIn post that ships (carousel = one piece unless you count slides separately—pick one rule and keep it)
  • · One customer-facing email or nurture step that goes out
  • · One sales enablement one-pager or battlecard refresh that reps actually use
  • · One blog or changelog entry you publish

Calls are not the output. They are the source text sitting under the content. The system moves that text next to your playbooks so production is faster and sounds like your buyers.

How the math works

  1. Extra pieces / year = max(0, pieces/month after − before) × 12.
  2. Hours / piece (today) = monthly production hours today ÷ pieces/month today (when today > 0).
  3. Counterfactual hours / month = (pieces/month after ÷ pieces/month today) × hours/month today when today’s piece count > 0. That is “how many hours/month you’d need at today’s efficiency to ship after’s volume.” If today’s pieces = 0, we only compare raw hour change (degenerate).
  4. Labor savings (annual $) = max(0, counterfactual hrs/mo − hours/mo with system) × 12 × loaded rate. Matches the idea behind manual-equivalent hour estimates in output reports—not just max(0, hours today − hours after), which ignores volume.
  5. Annual benefit (same all three years) = that labor savings + optional other annual $.
  6. Year 1 net = annual benefit − Phase 1 − (Phase 2 $/mo × months in year 1).
  7. Year 2 net = annual benefit − (Phase 2 $/mo × months in year 2).
  8. Year 3 net = annual benefit − (Phase 2 $/mo × months in year 3).
  9. 3-year cumulative = sum of the three nets.
  10. Phase 1 payback = Phase 1 ÷ (annual benefit ÷ 12). Rough clock; ignores Phase 2.

Next step

Walk this into your next leadership sync. If the throughput and hours story holds, book a call—we will pressure-test the numbers against your recorder and publishing rhythm.

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