Measure Up!
KPI or NAY-PI?
Who Owns It?
Make It Stick
Down to the Details
100

This type of analytics answers the question: "What happened?"

descriptive analytics

100

KPI stands for these three words:

Key Performance Indicator

100

Our presentation says each KPI should have one of these, not a committee.

Owner

100

The first step in the optimization framework is to measure the current state, called this.

Baseline

100

This gives the team a real-time view of all KPIs.

Dashboard

200

This type of analytics looks for root causes and patterns behind results.

diagnostic analytics

200

This five-letter framework is used to create strong KPIs.

SMART

200

Weekly or monthly reviews of KPI progress are called this.

Check-in cadence

200

The second step asks what could break your strategy.

Stress test

200

The lecture says metrics should be broken down by product, channel, and customer ______.

Segment

300

This type of analytics tries to forecast what will happen next.

predictive analytics

300

In SMART, this letter asks whether the team can actually influence the metric.

A for Actionable

300

Apple is used as an example of a company organized by this instead of by product.

function/functional teams

300

The lecture says to make this many changes at a time when optimizing.

ONE.

300

Besides a dashboard, each KPI also needs one responsible person called this.

Owner

400

Before you can improve or optimize something, the lecture says you first have to do this to it.

measure (you can't optimize what you can't measure)

400

“Increase website traffic” is used in the lecture as an example of this kind of weak metric.

a BAD KPI/vanity metric

400

Clear roles create clear ______ for KPIs.

accountability

400

After implementing a change, you do this to track its impact on KPIs.

Monitor

400

This is the pre-decided rule for what happens if a KPI drops by a certain percent.

Action threshold

500

If a team studies past traffic, figures out why signups changed, and then forecasts next month’s results, they are using these three levels in order.

descriptive, diagnostic, then predictive analytics

500

A good KPI should answer this question: “If this number goes up, are we ______?”

WINNING

500

In the presentation, when everyone is partially responsible for a KPI and it drops, this usually happens.

EVERYBODY BLAMES EVERYBODY ELSE

500

In the CAC example from the lecture, the cost dropped from $50 to this number after the test worked.

$35

500

In the lecture example, if CAC rises more than 15% in a month, the team should automatically do this.

Shift budget to the highest-performing channels