Workshop Visual Guide · Half-Day Format

From Activity
to Outcome

A visual journey through the metrics that matter — and the workshop that gets you there

4 hrs Duration
6 Phases
5--7 Core Metrics
1 North Star

The Foundation

The Logic Model

Step 01

Inputs

Budget, people, time, tools

Step 02

Activities

Training, campaigns, builds

Step 03

Outputs

Sessions held, emails sent, features shipped

Step 04

Outcomes

Behavior change, skill gain, adoption

Step 05

Impact

Long-term systemic change

Most teams measure steps 1--3. Outcome-driven reporting lives in steps 4--5.

Workshop Flow

Six Phases, Four Hours

1

0:00 -- 0:45 · 45 min

Align on Purpose

Establish why you're measuring anything at all. Identify who the audiences are and what decisions each metric should enable. Surface misalignment early with the "one number" exercise.

Exercise: One Number Whole Group Discussion
2

0:45 -- 1:45 · 60 min

Map Outputs vs. Outcomes

Audit your current metrics list. Categorize each as output (activity) or outcome (change). Most teams discover 80%+ are outputs — that gap becomes your redesign roadmap.

Audit Exercise Small Groups Whiteboard
3

1:45 -- 2:45 · 60 min

Build the Outcome Hierarchy

Complete the logic model for each initiative: inputs → activities → outputs → short-term outcomes → long-term outcomes → impact. Identify where your current metrics sit and which gaps need new measurement.

Logic Model Per Initiative Gap Analysis
4

2:45 -- 3:45 · 60 min

Design the Metrics

Define each outcome metric with precision: what changes, for whom, by how much, by when, and compared to what baseline. Apply the metric definition formula to each candidate metric.

Metric Formula Precision Writing Outcomes
5

3:45 -- 4:15 · 30--45 min

Data Audit & Feasibility

Reality-check every proposed metric. For each: Does the data exist? Who owns it? Is it reliable? If not — what is the proxy, cost, or collection method? Prioritize by impact vs. effort.

Feasibility Matrix Data Owners Proxy Metrics
6

4:15 -- 4:45 · 30 min

Build the Reporting Framework

Decide cadence, format, and audience for each metric. Establish the reporting template: metric → current value → target → trend → interpretation → recommended action. The last two columns are what most reporting misses.

Report Template Cadence Narrative

Output vs. Outcome

Outputs — What You Do

ActivityTrained 200 employees
ActivityLaunched new product feature
ActivitySent 50,000 emails
ActivityPublished 12 reports
ActivityHeld 40 onboarding sessions

Outcomes — What Changes

Behavior ChangeManagers apply new skills on the job within 30 days
Behavior ChangeUsers solve their problem 40% faster post-launch
Behavior Change12% of recipients take the desired purchase action
Behavior ChangeDecision-makers change policy based on findings
Behavior Change85% of new users activate a core feature in week 1

The Metric Definition Formula

What changes + For whom + By how much + By when + Compared to what

Example in practice

"60% of first-time buyers complete a second purchase within 90 days, compared to a 38% baseline."

Workshop Prompts

The Questions That Unlock Clarity

  • What problem are we ultimately solving?
  • If this initiative vanished tomorrow, what would stakeholders notice?
  • What would have to be true to call this a success in 12 months?
  • Who specifically needs to change behavior or circumstances?
  • What's the earliest observable signal we're on track?
  • What's the difference between a metric that shows we're busy vs. effective?
  • Where does this data live, and who controls it?
  • What's the closest proxy if direct measurement isn't feasible?
  • How will we handle attribution — can we isolate our contribution?
  • Who reads this report, and what decision will they make from it?
  • What would cause us to change course based on this data?
  • Are we reporting outcomes — or justifying our existence?

Come Prepared

Data to Bring Into the Room

📋

Current Metric List

Whatever you report today — even if it's just outputs. This becomes the audit baseline for phase two.

📊

Baseline Data

Even rough numbers. You cannot set a target without knowing where you start.

🎯

Stakeholder Priorities

Interview notes or survey data showing how stakeholders define success — not how your team does.

🗺️

Strategy Maps

Existing logic models, theories of change, or strategy docs. Don't rebuild from scratch if it exists.

🔌

System Access Info

CRM, analytics, survey platforms — who owns each system and can data be pulled reliably?

📎

Prior Report Samples

The group needs to critique what already exists before designing what comes next.

Watch Out For

Common Traps to Discuss

Vanity Metrics

Numbers that look impressive but don't indicate real change. Pageviews, headcount, events held — they tell you you're busy, not effective.

Measurement Lag

Long-term outcomes take time. Teams need leading indicators to stay accountable without waiting years for results to surface.

Metric Gaming

When metrics become targets, behavior shifts to hit the number rather than achieve the outcome. Build in qualitative checks.

Over-Engineering

A dashboard with 40 metrics is one nobody reads. Ruthlessly reduce to 5--7 core outcome metrics per initiative.

Missing Narrative

Numbers without interpretation don't drive decisions. Every metric needs a current value, trend, and recommended action — not just a number.

Attribution Fallacy

Claiming full credit for outcomes shaped by many factors. Be honest about what you influenced vs. what you caused.