Built By Operators Who Lived This Pain
How ShiftFocus Turns Goals Into
Enforced Execution
A replacement-ready execution system for companies outgrowing Workboard, Quantive, and static OKRs.
Designed for CEOs/COOs running cross-functional SaaS execution.
We spent $40K+ and 18 months trying 13 different tools. None worked. So we built what we needed: a system where execution isn't optional, it's inevitable.
KPI Command Center
Real-time KPI performance tracking • Q4 2025 • Week 12/13
EXEC SCORE
87
VELOCITY
+12%
vs last sprint
ACTIVE OKRS
6
This quarter
AT RISK
2
Need attention
CHECK-INS
127
+24% growth
OKR Confidence Engine
98% confidence
ON TRACK
112
BEHIND
18
AT RISK
5
COMPLETED
42
CEO Priority
Flagged
Launch mobile app by end of quarter
Cross-functional dependencies detected • 3 teams involved • Deadline: Dec 31
ACTION NEEDED
Review dependencies now
Today's 60s Test Matrix
-
Execute OKR check-ins
< 30s
on-track
-
Review Alignment Risk
~15s
attention
-
AI Mitigation Tactic
~10s
generated
Execution Intelligence Hub
View all Intelligence →
TASK NAME
ASSIGNED TO
PRIORITY
STATUS
DUE
Fix mobile app crash on login
Confidence: +73% • 3.91% offset
DP
David Park
Critical
In Progress
Dec 5
Design new onboarding flow
Confidence: -7% • 0.8% offset
JM
Jessica Mo
High
In Progress
Dec 12
Implement user-level collaborations
Confidence: -3% • 0.7% offset
DC
David Chan
Medium
Waiting
Dec 14
THE COMPLETE SYSTEM
How the Machine Works End-to-End
Not feature tiles. A complete execution system that connects strategy to daily operations.
Connect
Jira, Asana, Slack, Teams, Sheets + SSO
-
Import existing structure
-
Map dependencies
-
Configure policy rules
1
Model Trajectory
Risk + dependencies + capacity + confidence
-
Import existing structure
-
Map dependencies
-
Configure policy rules
2
Enforce Cadence
Nudges → escalation → intervention
-
30-second check-ins
-
Auto-escalation rules
-
Missed deadline alerts
3
Brief Leadership
Jira, Asana, Slack, Teams, Sheets + SSO
-
Auto-generated summaries
-
Risk-first reporting
-
Action recommendations
4
This isn't a feature list. It's the complete execution loop.
Your existing feature sections (OKRs, check-ins, alignment, slippage) provide evidence for how each step works. This is the system view.
PILOT SCORECARD
What You Can Verify in 30 Days
No projections. No case studies. Just measurable outcomes you can track in your environment during the pilot.
Risks Surfaced Before Deadlines
Tracked Weekly
Compare slippage detection timing vs. your current system
Missed Check-ins Reduced
Baseline → 30 days
Measure compliance rate change with enforcement
Late Escalations Reduced
Tracked in real-time
Count issues flagged early vs. discovered in reviews
Exec Review Time Reduced
Hours saved
Time spent gathering status vs. reviewing brief
QBR Prep Hours Reduced
Team time saved
Prep time with auto-generated narratives vs. manual
This isn't a feature list. It's the complete execution loop.
Your existing feature sections (OKRs, check-ins, alignment, slippage) provide evidence for how each step works. This is the system view.
1
AI-Generated OKRs
Policy-Aligned OKRs In Minutes
Answer 3 questions. Get complete OKR hierarchies aligned to your operating model—no workshops, no guesswork.
Enforces strategic fit and dependency logic
Enforces strategic fit and dependency logic
Enforces strategic fit and dependency logic
Enterprise Control, Not ChatGPT
Traditional workshops take weeks and produce misalignment. ShiftFocus turns strategy into execution infrastructure in minutes while maintaining full governance.
QUESTION 1 OF 3
What's your primary business goal for Q1?
Increase ARR from $2M to $5M
GENERATED IN 8 SECONDS
Objective
Company
Achieve sustainable revenue growth
KR
Sales
Achieve sustainable revenue growth
KR
Sales
Achieve sustainable revenue growth
KR
Sales
Achieve sustainable revenue growth
Weekly Check-in
Monday, 9:00 AM
What did you accomplish last week?
Closed 3 enterprise deals, $180K ARR
Any blockers?
Need legal review for contract templates
Confidence level (1-10)?
7/10
Completed in 28 seconds
Submit
2
30-Second Check-ins
30-Second Check-Ins That Don't Accept "Later"
Every Monday at 9am: three questions, no meetings, no excuses. Compliance is enforced, not requested.
Missed check-ins escalate to managers automatically
Repeated misses notify executive leadership
Repeated misses notify executive leadership
Enforcement, Not Awareness
82% of employees don't know company goals. Weekly check-ins close this gap through enforced cadence—risk flags surface to leadership when check-ins are missed.
SF
FROM THE FOUNDERS
"Our team initially resisted. When we tested disabling it for a week, they panicked. It works because it removes decision fatigue—updating isn't optional."
3
Real-Time Alignment
Real-Time Alignment Across All Teams
See where strategy breaks between teams—no meetings required. Every KR connects to team objectives, team objectives to company goals. When one node moves, the ripple effect is instant.
Cross-team dependencies visible in real-time
Bottleneck detection surfaces ownership gaps
Conflict alerts before planning breaks down
Why Alignment Fails
Most companies discover misalignment at quarterly reviews—too late to fix. We surface conflicts the moment they emerge. Leadership gets ownership clarity without Slack threads or meetings.
COMPANY
$5M ARR
Sales
$1.7M MRR
Product
Mar 15
CS
2.1% churn
Sarah
85%
Michael
92%
Alex
78%
Jordan
88%
Taylor
67%
Dependency Alert
CS churn affects Sales KR
Slippage Detection
HIGH RISK
Detected 2 weeks early
-27%
Product Launch at Risk
45% confidence (down from 72%)
RECOMMENDED ACTION
Schedule checkpoint with engineering lead
MEDIUM RISK
Detected 3 weeks early
-18%
Sales Target Trending Low
$1.4M vs $1.7M target
RECOMMENDED ACTION
Reallocate resources to top-performing rep
LOW RISK
Detected 1 week early
+3%
Team Capacity Warning
3 pending blockers
RECOMMENDED ACTION
Clear blocker queue before sprint planning
AI Analysis
Pattern detected: Low confidence scores correlate with delayed check-ins. Consider daily standups for Product team.
4
Predictive Slippage Detection
Detect Slippage Weeks Before It's Visible
When slippage shows in results, it's too late. We flag it weeks earlier using momentum trends, check-in decay, dependency risk, and execution patterns.
Tracks velocity trends, confidence shifts, blocker buildup
Auto-alerts to owners, stakeholders, and leadership
Prescribes interventions based on past success
The Cost of Late Detection
Most companies discover slippage 6-8 weeks late. By then, recovery costs 3x the resources. Early detection is the difference between correction and failure.
SF
CUSTOMER EXAMPLE
"Flagged a product launch risk 18 days early. Confidence scores dropped, same blocker appeared twice. We reallocated and hit the deadline. Without this, we'd have discovered it on launch day."
Governance Controls
Policy templates and OKR constraints
Ownership rules and approval workflows
Admin permissions and role-based access
Security & Compliance
SSO / SCIM integration
Audit logs and encryption
Vendor risk packet available
The Shift
From Hopeful Planning To Enforced Execution
Most OKR systems are suggestion boxes. ShiftFocus is execution infrastructure.
Status Reporting Tools
Workboard, Quantive, Lattice, Weekdone
Quarterly workshops that produce misaligned goals
Optional check-ins that get skipped
Spreadsheet tracking that's outdated by week 2
No enforcement—compliance is voluntary
No predictive signals—reactive only
Manual escalation and follow-ups
Shallow integration depth
No behavior correction mechanisms
Limited exec visibility between quarters
Discover failures at the quarterly review
40-60% of OKRs abandoned by mid-quarter
"We set goals in January and forgot about them until April."
Execution Intelligence + Enforcement
Replacement-ready execution system
Policy-aligned OKRs generated in 8 minutes
Mandatory 30-second check-ins every Monday
Real-time dashboards updated automatically
Enforcement built-in—escalation triggers
Predictive slippage detection 2-4 weeks early
Automated escalation and intervention
Deep integration across tools
Behavior correction through consequence
Leadership sees live status across all teams
Slippage detected before impact
94% of OKRs completed or on-track at quarter end
"It's impossible to ignore. That's exactly what we needed."
97%
Our weekly check-in completion rate
Internal data
18 months
Of testing and refinement on ourselves
Before launch
18 days
Average early warning we got on slippage
Real prevention
90-DAY PROOF STRUCTURE
How Pilots Measure Success in 90 Days
Run ShiftFocus parallel to your current system. Compare how fast each one surfaces execution risk, how often leadership gets surprised, and how much time you save preparing board updates.
Side-by-side comparison
Weekly benchmark reports
Zero business disruption
Week 1
Define What "Early Warning" Means for You
SaaS example: Flag when customer success OKRs slip 2+ weeks → triggers churn review. Manufacturing: When production ramp delays → supply chain audit. Professional services: When utilization drops → capacity reallocation.
PROOF METRICS
-
Set trigger rules: X metric slips = Y escalation
-
Map critical path: Which OKRs affect revenue/delivery
-
Baseline current system: How fast do you catch slippage today?
Weeks 2 - 5
Start Logging Detection Speed (Parallel Run)
Track when ShiftFocus flags a risk vs. when your current system does. Example: Customer success miss detected Week 3 by ShiftFocus, Week 6 by manual review. Build the comparison log.
PROOF METRICS
-
Risk 1: ShiftFocus flagged Day 12, current system Day 28
-
Risk 2: Both caught it same week (no advantage
-
Risk 3: ShiftFocus escalated to exec, current system didn't
Weeks 6-10
Measure Time-to-Intervention Delta
Compare: How many days between risk detection and exec decision? SaaS example: Churn risk → exec call with customer. Healthcare: Patient wait time spike → staffing shift. Track intervention lag.
PROOF METRICS
-
Avg time from alert to action: ShiftFocus vs. current
-
False positive rate: How often was the alert wrong?
-
Exec surprises: Issues that bypassed both systems
Days 85 - 95
Quantify the Proof (Industry-Specific)
SaaS: MRR saved from early churn catch, deals rescued. Manufacturing: Production delays prevented, inventory waste reduced. Services: Billable hours recovered, client escalations avoided.
PROOF METRICS
-
Hard metric: $ value of risks caught earl
-
Soft metric: Exec review hours saved per wee
-
Decision data: Roll out fully, extend pilot, or exit
Why the parallel run matters
We don't ask you to "trust the AI." We ask you to run both systems side-by-side and compare the logs. If ShiftFocus doesn't catch execution risk faster, escalate to the right people sooner, or save leadership time in your context, the pilot failed—not you.
Schedule an Executive Walkthrough
See the complete system in 30 minutes. No sales pitch—just mechanics, evidence, and migration path.
SF
Internal Story: What Broke
We spent 18 months and $40K+ trying to make execution stick. Workboard, Quantive, Lattice, spreadsheets — nothing worked.
So we built what we needed: a system where weekly execution isn't optional, slippage gets caught early, and alignment isn't a quarterly exercise.
We use this every single week. If it works for you, great. If not, no hard feelings.
* Internal example. Pilot scorecard produces measurable outcomes in your environment.
Internal Story: What Broke
1
Our actual dashboard
Live data from our production environment, not a demo account
2
The enforcement mechanics
How check-ins escalate, what happens when someone misses, why it works
3
Real slippage detection
We'll show you actual examples of risks we caught 2-4 weeks early
4
Migration path
If you're using Workboard/Quantive/spreadsheets, how the switch works
5
Our internal metrics
97% check-in rate, 92% OKR completion — we'll show you how we got there
30 minutes • For CEOs, COOs, Chiefs of Staff, VP Ops • No sales pitch
We built this because we needed it. Now we're sharing it with teams who are done tolerating execution theater.
— The ShiftFocus Team