Free Interactive Flipbook · Data Management Framework
Your forecasts are
only as good as
your worst data.
Your forecasts are
only as good as
your worst data.
Inside the Flipbook · 5 Phases
C
Collect
Gather the right data, completely
L
Link
Connect systems for one source of truth
E
Evaluate
Validate quality before decisions
A
Access
Right data, right person, right time
R
Retain
Preserve history for confident forecasting
Collect:
Gather the right data, completely
Link:
Connect systems for one source of truth
Evaluate:
Validatequality before decisions
Access
Right data, right person, right time
Retain
Preserve history for confident forecasting
Most WFM leaders blame the forecast. The real problem starts before the forecast is even built. The C.L.E.A.R™ Data Framework shows you exactly where your data foundation is breaking, and how to fix it.
C.L.E.A.R™ stands for Collect · Link · Evaluate · Access · Retain — a proprietary data management methodology developed by Solid Rock Consulting (SRC).
Why This Framework Exists
After working with hundreds of contact centers,
the same problem kept showing up.
Organizations had data everywhere, ACD systems, WFM platforms, HR tools, QA reports. But nobody was working from the same numbers.
WFM would present a forecast and Finance would challenge it. The shrinkage number in one system didn't match another. Leaders were making million-dollar staffing decisions on data nobody fully trusted.
The problem wasn't the forecast. It was the foundation the forecast was built on. That's why Juanita Coley and the SRC team created C.L.E.A.R™, a practical, 5-phase framework to fix the data foundation once and for all.
For Operations Leaders
"I keep explaining to my CEO why service level failed. But the data we're using to fix it, I'm not even sure it's right."
For WFM Analysts
"Nobody taught me how to build a proper data foundation. I've been figuring it out alone, and I'm not sure if I'm doing it right."
If either of those sounds familiar
this framework was built for you.
Sound Familiar?
Are These Problems
Tanking Your Forecasts?
Are These Problems
Tanking Your Forecasts?
WFM, Finance & HR are fighting over numbers
Each team pulls different shrinkage figures from different systems. The result: endless debates, zero trust, and decisions based on whoever yells loudest.
WFM, Finance & HR are fighting over numbers
Each team pulls different shrinkage figures from different systems. The result: endless debates, zero trust, and decisions based on whoever yells loudest.
Your forecasts are only as good as your worst data source
Missing ACD feeds, excluded IVR calls, or incomplete intervals are silently killing your forecast accuracy before you even build the model.
Your forecasts are only as good as your worst data source
Missing ACD feeds, excluded IVR calls, or incomplete intervals are silently killing your forecast accuracy before you even build the model.
Reports buried in 40-tab spreadsheets no one understands
Ops leaders can't act on insights locked inside complex WFM reports. Data exists — but it's not accessible to the people who need it daily.
Reports buried in 40-tab spreadsheets no one understands
Ops leaders can't act on insights locked inside complex WFM reports. Data exists — but it's not accessible to the people who need it daily.
You can't do year-over-year forecasting without the history
Poor data retention policies mean seasonal trends disappear. You're forecasting peak season blind, every single year.
You can't do year-over-year forecasting without the history
Poor data retention policies mean seasonal trends disappear. You're forecasting peak season blind, every single year.
Real Results · Case Study
Before C.L.E.A.R™ data disputes were costing them weekly.
After it — they had their numbers back.
Before C.L.E.A.R™ data disputes were costing them weekly.
After it — they had their numbers back.
Inconsistent shrinkage data caused constant disputes between WFM and Finance. Neither team trusted the other's reports. After implementing the C.L.E.A.R™ framework, the client achieved alignment across teams, measurable accuracy gains, and dramatically reduced reporting overhead.
+7%
Increase in forecast accuracy
−12h
Weekly reporting time saved
✓ Team Trust Restored
WFM and Finance now operate from a single, validated version of the truth — no more debates, no more parallel spreadsheets.
Inside the Flipbook · 5 Phases
Inside the C.L.E.A.R™
Data Framework
Inside the C.L.E.A.R™
Data Framework
phase 1
C
The Problem
Collect
Are you confident you're gathering all the right data from your ACD, WFM, HR, and QA systems? Missing feeds create massive gaps — silently — before forecasts are even built.
The Promise
100% Data Capture
Get the checklist to inventory every data source and automate collection where possible, eliminating manual gaps for good.
phase 2
L
The Problem
Link
Why is Finance reporting 23% shrinkage while WFM shows 85%? Conflicting definitions across systems destroy trust and produce endless debates instead of decisions.
The Promise
One Version of the Truth
Discover the strategy to connect data across all systems and standardize definitions — so every team works from the same numbers.
phase 3
E
The Problem
Evaluate
Is your data accurate, complete, and reliable before you build your entire workforce plan on it? Bad data in always means bad forecasts out — no exceptions.
The Promise
Catch Errors Before They Cost You
Implement a simple quality-check system to validate data and flag anomalies before they reach your scheduling decisions.
phase 4
A
The Problem
Access
Are your leaders digging through 40-tab spreadsheets to find one number? Complex reports delay decisions and keep insights trapped inside WFM instead of driving the operation.
The Promise
Right Data, Right Person, Right Time
Design role-based access and dashboards that deliver insights to decision-makers instantly — no gatekeeping, no raw dumps.
phase 5
r
The Problem
Retain
Is poor data retention preventing reliable year-over-year seasonal forecasting? You can't predict the future if you don't preserve the past — and most teams don't.
The Promise
Historical Data You Can Actually Use
Get the policies to preserve and archive historical data (minimum 2–3 years) so it's always available for forecasting, auditing, and trend analysis.
Who This Is For?
Built for WFM & CX Operations Leaders
Built for WFM & CX Operations Leaders
WFM Leaders & Analysts
Tired of defending your numbers to Finance and Ops? CLEAR™ gives you a defensible, validated data foundation that ends the debates.
CX & Operations Directors
If your team is forecasting blind or pulling data from five different places, CLEAR™ shows you exactly how to fix the foundation.
Organizations Building WFM Capability
Whether you're standing up a new WFM function or cleaning up an existing one, data discipline is step one — and this is your roadmap.
Free Interactive Flipbook
Get the C.L.E.A.R™
Data Flipbook
Get the C.L.E.A.R™
Data Flipbook
→ An interactive flipbook you can read page by page , the complete 5-phase framework (Collect, Link, Evaluate, Access, Retain) with checklists for each phase
→ Real-life examples from BPO, healthcare, retail, and banking contact centers — inside the flipbook, not in a static PDF
→ The CLEAR™ Scorecard embedded in the flipbook, rate your organization's data maturity and get your score (5–25) instantly
→ The CLEAR™ Scorecard embedded in the flipbook, rate your organization's data maturity and get your score (5–25) instantly
Trademark Notice
C.L.E.A.R™ — Collect · Link · Evaluate · Access · Retain — is a proprietary methodology of Solid Rock Consulting (SRC).
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