Taizen

Analytics

The Training and Win/Loss dashboards, and what each is actually good for.

Analytics has two tabs, and they answer two different questions.

Training

Per training plan: how many reps started, how many certified, the team average with its sample size, the coaching priority, a leaderboard, score by dimension, and a Stages and steps view showing where reps stall.

This answers "is the team getting better, and at what?"

Full detail in training performance.

Win/Loss

Across your interviews: outcomes, competitors, and the recurring reasons buyers give. Reachable from Analytics → Win/Loss or Performance on the Interviews screen.

This answers "why are we losing, according to the people who decided?"

Full detail in read the results.

Agent analytics

Separate from this screen: Agents → Analytics covers run volume, success rate and cost across your agents. That's an operational dashboard — is the automation healthy and what is it costing — rather than a GTM one. See runs and debugging and credits and usage.

Reading these well

Check the sample size before the number. A team average marked n=1 is one person's morning. The dashboards show the sample deliberately; use it.

Look for the same story in both tabs. A weak training dimension and a recurring loss theme are usually one problem seen from two ends:

Win/Loss saysTraining saysRead it as
Buyers cite a competitor's integration depthObjection handling is the weakest dimensionReps can't handle a live objection you already know is coming. Build the drill
Losses cluster on "no decision"Discovery depth is weakQualification failure, not a closing failure
Won deals cite one specific proof pointValue articulation is strongProtect that proof point when you change messaging

Trends over snapshots. One week's movement in a team average is noise. The useful cadence is monthly for training, and per-quarter themes for win/loss.

What isn't here

Pipeline and forecast reporting isn't a fixed dashboard — it's a Live App an agent keeps current, so it matches how your team actually reports rather than a template. See the deal intelligence recipe.

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