Activation Fee Waiver Strategy
Turned a recurring revenue + customer trust conflict into a decision system leadership could govern — starting from buyflow behavior, waiver patterns, and operational reality.
Context
Spectrum Mobile charges a $20 activation fee per line during buyflow when customers purchase new lines. Over time, the fee became a repeated trigger for distrust, escalations, and inconsistent waivers.
What leadership believed
“We must enforce to protect revenue” vs “We must waive to protect CX.”
What the system was actually saying
Waivers were a recurring signal of expectation failure + inconsistent operational guardrails.
Problem
Waiver decisions varied across agents and channels. Customers often felt the fee was “added” after their decision, even though it was present in buyflow. This created contacts and made waiver spend unpredictable.
Business
Revenue leakage + higher cost-to-serve.
Customer
Trust break + “surprise fee” perception.
Operations
Discretion without guardrails; waivers used to de-escalate ambiguity.
Root cause
Policy debate disguised a journey failure: expectations weren’t set at the right moment.
What I did
I led a research-only strategy effort to move the conversation from “waive vs enforce” to “what conditions justify a waiver and what conditions demand a system fix.”
Diagnosed the system
Mapped disclosure moments, downstream contact points, and expectation gaps.
Found repeat patterns
Partnered with CX + frontline to identify clusters and escalation triggers.
Built governance logic
Created a decision framework + experiment plan leaders could operationalize.
Designed for learning
Defined metrics + guardrails to reduce waivers without harming conversion.
Insights
Expectation gaps drove waivers
Customers were less upset about $20 and more upset about feeling misled.
Waivers became conflict-resolution
When policy was unclear, waiving was the fastest path to resolution.
Revenue vs CX was false binary
Inconsistent enforcement damaged both; the fix is rules + expectation-setting.
Hiring-manager takeaway
This is decision design: policy + ops + journey stitched into a system leaders can run.
Opportunity map
Opportunities organized by where they occur in the journey and how directly they reduce distrust and escalation.
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Decision framework
Reframed the question from “Should we waive?” to: “When does a waiver protect long-term value, and when should it trigger a system fix?”
1) Classify the trigger
Disclosure issue · System error · Policy exception · Misunderstanding
2) Apply guardrails
Tenure/LTV · Channel · Evidence of expectation gap · Severity of friction
3) Decide + close the loop
Waive, don’t waive, or trigger a fix — then feed learnings back into governance.
Why this matters
Turns inconsistent discretion into a repeatable decision process leadership can govern.
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Experiment plan
Experiments designed to reduce waivers without harming conversion — learn safely, generate evidence leadership trusts.
Impact
Replaced opinion-driven waiver debate with a governable system: classify → apply guardrails → decide → learn.
Business
Reduced arbitrary waiver behavior and created inputs for scalable automation.
Customer
Shifted focus upstream to expectation-setting to prevent trust breaks.
Operations
Gave teams consistent guardrails and shared decision language.
Hiring manager takeaway
You’re seeing product thinking: policy + ops + journey stitched into a system leadership can run.
Next steps
If extending into execution, I would embed this framework into governance and product:
Improve disclosure across channels
Make expectation-setting consistent: web, app, retail, and scripts.
Require reason tagging
Turn every waiver into structured insight that informs product fixes.
Rule-based automation
Automate high-confidence scenarios to reduce inconsistency + time-to-resolve.
Monthly dashboard
Waiver drivers + contact volume + conversion + guardrails.