Real data.
First deployment.
Signal runs on echology's own operations. This is not a demo on sample data. This is a working system deployed on a real business, with every number pulled from the system's own database.
Estimated vs Actual Effort
time savings
26 steps tracked with estimated and actual effort
Source: ops.db initiative steps table. Generated by ops effort-report. Deployment date: 2026-03-16.
Efficiency
82% time savings
27 hours of estimated work completed in 6 hours 25 minutes. 26 steps tracked with estimated and actual effort. Not a projection. A measured result.
Perception
3,473 files indexed
Full document environment scanned across two machines. Multi-server ingestion with source labeling. Every file classified deterministically.
Intelligence
6 structural gaps detected
Revenue gaps, stale leads, blocked initiatives, legal exposure, content pipeline stalls, effort inefficiency. The system found what the founder did not see in his own business.
Estimated vs actual: every step measured
Every step in the deployment was tracked with an estimated effort and an actual effort recorded at completion. The system measures itself. These numbers come from ops.db, generated by running ops effort-report.
| Category | Estimated | Actual | Savings |
|---|---|---|---|
| Infrastructure Deploy, onboard, multi-server | 7hr 30min | 1hr 5min | 85% |
| Reports & deliverables Report, optimize, compare | 3hr+ | 55min | 69% |
| Human review gates Three approval checkpoints | 3hr | 20min | 89% |
| Configuration Config separation, cleanup | 4hr 30min | 35min | 87% |
| Effort tracking system Schema, CLI, backfill, reporting | 5hr 30min | 1hr 20min | 82% |
| Market research Competitive positioning, case study | 4hr | 35min | 85% |
| Total | 27hr 30min | 4hr 50min | 82% |
What was built in that time
- 5 CLI commands (deploy, onboard, report, optimize, compare-twins, effort-report)
- 4-factor work scoring algorithm across all operational items
- Structural gap detection with 6 gap types
- Initiative dependency triggers (auto-activation on prerequisite completion)
- Multi-server document ingestion with source labeling
- 3-model AI comparison with deterministic scoring
- Effort tracking system (estimated vs actual on every step)
- 5 initiatives completed (36 initiatives total, 197 steps, 124 done)
- Competitive positioning document with cited market data
- First case study with verified time savings
Market context for these numbers
| Comparable | Typical Cost | Typical Timeline |
|---|---|---|
| Celonis process mining deployment | $200K-$1M+/year | Weeks to months |
| Management consulting engagement | $500K-$1.25M (MBB) | 8-12 weeks |
| Fractional COO | $8K-$25K/month | Ongoing, manual |
| DTO implementation | $50K-$500K | Months |
| Signal first deployment | $0 (self-deployed) | 6 hours 25 minutes |
Sources: Gartner MQ 2025, Forrester TEI (Celonis: 383% ROI on $2.3M investment), Mordor Intelligence, ScaleUpExec/OpsElevate fractional COO surveys, McKinsey engagement disclosures.
How we measured
Every step in the initiative system has an effort field (estimated) and an actual_effort field (recorded at completion). The command ops effort-report generates the comparison from the database. No manual estimation after the fact.
What comes next
This is deployment 001: echology on itself. The next deployment will be a client's business. Same methodology. Same measurement. If the numbers are different, we will report them honestly. The system that measures its own efficiency cannot hide from its own data.
Data source: ops.db. Initiative steps table: effort and actual_effort columns. Generated by ops effort-report. All timestamps UTC. Deployment date: 2026-03-16.
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