Frequently Asked Questions

Q: Isn’t this just dressing up activity metrics?

 

A: Short answer: No — the metrics are inputs. The value is in the logic.

MountainTop Metrics intentionally uses familiar activity data (enrollment, completion, time to complete) — but it does not report them independently. The platform applies a structured diagnostic framework that translates those signals into clear decisions.

Traditional dashboards answer:

“What happened?”

MountainTop Metrics answers:

“Why did it happen — and what should we do next?”

Q: What’s the analytical strategy behind the product?

 

A: The strategy is based on constraint-based diagnostics, not raw reporting.

Every learning program can fail for different reasons:

  • People never enroll

  • Learners drop off partway through

  • The experience is too difficult or inefficient

MountainTop Metrics separates these into three independent signals:

  • Reach (participation)

  • Completion (content value)

  • Friction (experience difficulty)

Each signal is evaluated independently and then combined to determine overall course health and the appropriate action.

Q: Why not just look at completion rate?

 

A: Because completion rate alone is misleading.

A course can have:

  • High completion but low participation (no reach)

  • High participation but poor completion (content issue)

  • Decent completion but excessive time to finish (friction issue)

MountainTop Metrics prevents incorrect conclusions by identifying the weakest constraint, which is typically the true root cause.

Q: Is this predictive analytics or AI?

 

A: No — and that’s intentional.

Mountain Top Metrics is decision analytics, not black-box prediction.

Instead of producing opaque scores or statistical outputs, it uses:

  • Transparent rules

  • Explainable signals

  • Repeatable logic

This ensures stakeholders can trust, understand, and act on the results.

Q: How are recommendations generated?

 

A: Recommendations are deterministic and explainable.

Each recommendation directly maps to a diagnosed constraint:

Identified Issue Recommendation
Low Reach Increase Awareness
Low Completion Improve Content
High Friction Reduce Friction
Strong Signals Maintain or Scale

There is no subjective interpretation required.

Q: How is this different from a dashboard?

 

A: Dashboards require interpretation.

Mountain Top Metrics provides answers.

Instead of presenting dozens of charts and KPIs, the platform:

  • Diagnoses the problem

  • Explains the cause

  • Recommends the action

This reduces analysis time and enables consistent, defensible decisions across teams.

Q: Who is this product designed for?

 

A: Mountain Top Metrics is designed for:

  • Learning & Development leaders

  • Program owners

  • Executives who need clear answers, not raw data

No statistical or technical expertise required.

Q: What problem does this actually solve?

 

A: It solves decision paralysis.

Organizations often collect learning data but struggle to answer:

  • Which courses are worth scaling?

  • Which need intervention?

  • Which should be redesigned or retired?

MountainTop Metrics turns learning data into decisions, not reports.

Still Have Questions?

 

If you’d like to see how the logic works on a real program, explore the demo or request a walkthrough.