Case Study · Founders

How a Founder Reclaimed Deep Work and Doubled Product Throughput with Cortexta

The operational blueprint of a venture‑backed SaaS founder who moved from reactive firefighting to a living schedule—protecting strategy time, aligning work to outcomes, and shipping predictably.

Deep Work Protection AI Prioritization Google Calendar RAG Context

Executive summary

A founder at a 12‑person SaaS startup faced the classic trap: back‑to‑back meetings, constant context switching, and a backlog that grew faster than it shipped. Planning rituals existed, but the plan never survived the day. Cortexta was introduced to enforce outcome‑aligned prioritization and maintain a living schedule that adapts to reality.

  • Throughput: +87% features/quarter, +34% cycle time improvement (P50 → P75 tasks).
  • Deep work: From 2.3 hrs/week to 9.6 hrs/week of protected strategy time.
  • Predictability: Missed deadlines down 62%; on‑time delivery for Tier‑1 items up to 92%.
  • Stress: Reported “mental load” dropped from 8/10 to 4/10 by week 4.

From firefighting to a living schedule

Before Cortexta

  • Deep work gets pushed by meetings, context switching, and Slack pings.
  • Weekly planning doesn’t survive Monday changes.
  • High‑impact items slip due to reactive support and sales escalations.
  • Personal tasks bleed into workday; no clean buffers.

After Cortexta

  • Protected 3× 90‑minute deep‑work blocks per week, auto‑rescheduled if interrupted.
  • AI Prioritization Engine ranks tasks by outcome impact and deadline risk.
  • Google Calendar auto‑time‑blocking adapts to meeting changes in real time.
  • Routines for 1:1s, board prep, release reviews, and personal admin—without overbooking.

Implementation blueprint (week 0 → week 2)

1) Connect and ingest

  • Connected Google Calendar; imported Linear epics and Notion product specs.
  • Pasted last 6 weeks of board notes and sprint retros for RAG grounding.
  • Forwarded “must‑win” emails to the unified inbox for extraction.

2) Define outcomes and tiers

  • Tagged initiatives by outcomes: ARR growth, retention, incident rate, and velocity.
  • Created Tier‑1/2/3 priority taxonomy; mapped deadlines and dependencies.
  • Set effort estimates for deep‑work chunks (45/60/90 minutes).

3) Scheduling rules

  • Focus hours: Tue/Thu 9:30–12:00; Fri 1:30–4:00 with 15‑min buffers.
  • Hard boundaries for 1:1s, sales reviews, and investor updates.
  • Do‑not‑disturb and travel windows to avoid overbooking.

4) AI Prioritization Engine

Weighted criteria aligned to outcomes:

  • Outcome impact (40%): direct effect on ARR/retention/incident rate.
  • Deadline risk (25%): proximity and dependency risk.
  • Effort fit (15%): match to available focus windows.
  • RAG confidence (10%): alignment to historical decisions and notes.
  • Recovery cost (10%): penalty for context switches and preemption.

5) Living schedule

  • Tasks time‑blocked automatically; reschedules when meetings move.
  • Overruns trigger re‑planning with minimal disruption to Tier‑1 blocks.
  • Daily “Now” suggestion: one click to start the highest‑impact task.

Quantified outcomes (week 2 → week 8)

+87%
Features shipped per quarter
-34%
Cycle time (P50 → P75 tasks)
9.6h
Weekly deep work (from 2.3h)
92%
On‑time Tier‑1 delivery
Throughput +87%

Features shipped / week

Cycle time -34%

Median days from start → ship

Deep work hours 4.2×

Protected focus per week

On‑time Tier‑1 92%

Commitments met

Daily rituals the founder adopted

Morning calibration (7 minutes)

  • Glance “Today plan” and accept auto‑schedule.
  • Convert new email/Slack inputs into tasks via quick capture.
  • Lock the first deep‑work block; snooze non‑critical meetings if needed.

Midday re‑plan (3 minutes)

  • If overrun > 20 minutes, let Cortexta shift lower tiers to preserve Tier‑1.
  • Use “Now” to start next best action; block Slack for 45 minutes.

Evening closure (5 minutes)

  • Mark completions; annotate blockers for RAG learning.
  • Queue tomorrow’s top 3; leave calendar clean by 6:30pm.

Exact configuration used

Scheduling rules

  • Buffers: 10 minutes between meetings; 15 minutes before deep‑work blocks.
  • Do‑not‑book windows: daily 12:00–1:00 for lunch; Fri 4:00–5:00 for review.
  • Hard constraints: board meetings and investor calls remain fixed.

Prioritization weights

  • ARR impact 0.40 · Deadline risk 0.25 · Effort fit 0.15 · RAG confidence 0.10 · Recovery cost 0.10
  • Escalations capped to 20% time budget/week unless Tier‑1 affected.
  • Personal admin limited to 30 minutes per weekday, auto‑scheduled.

Time allocation (weekly)

Deep work 40%
Meetings 30%
Operations 20%
Personal admin 10%

A week at a glance

Mon
Tue
Wed
Thu
Fri
Deep work
Meetings
Operations
Personal

Milestones achieved

Week 1: Living schedule online

Connected calendars, imported backlog, defined Tier‑1 outcomes and rules.

Week 2: Deep work stabilized

3× 90‑minute blocks consistently protected; meetings reshuffled automatically.

Week 4: Predictability up

On‑time Tier‑1 commitments above 85%; escalations capped to 20% time budget.

Week 8: Throughput surge

+87% features shipped quarter‑over‑quarter; founder stress materially reduced.

“The biggest shift wasn’t speed. It was finally being able to think. Cortexta gave me a schedule that defended strategy time without me babysitting it.”

— Founder‑CEO, B2B SaaS (12→24 people)

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