Simpro Knowledge Base

Team Quest Catalog

Team Quest Catalog visual map

Team quest board

Purpose

This catalog gives teams practical quests to learn and apply the concepts in the wiki. Each quest is designed to be small, evidence-based, and useful in real work.

Use one quest per team per week or one quest per sprint. Do not run all quests at once. The point is focused behavior change.

Quest Format

Each quest has:

  • Story hook: why the quest matters.
  • Mission: what the team must do.
  • Players: who should participate.
  • Evidence: what proves completion.
  • Reflection: what the team should discuss.
  • Badge: what capability the team earns.

Quest 1: The Hidden Customer

Story Hook

A team is building a feature, but nobody can clearly explain who will use it or what decision it helps them make.

Mission

Choose one active feature and identify:

  • Primary user.
  • Job they are trying to do.
  • Pain or risk.
  • Current workaround.
  • Desired outcome.

Players

Product/stakeholder, developer, QA, support/operations, team lead.

Evidence

A one-paragraph problem statement and one success metric.

Reflection

What did we assume before this quest? What changed after naming the user clearly?

Badge

Customer Clarity.

Quest 2: The Feature Request Translator

Story Hook

The team receives a request: "Build this screen." Instead of starting design or development immediately, the team translates it into value.

Mission

Convert one feature request into:

  • Problem.
  • Outcome.
  • Metric.
  • Assumptions.
  • Smallest experiment.

Evidence

Feature request rewritten as a product bet.

Reflection

Did the original request still look correct after reframing?

Badge

Product Bet Maker.

Quest 3: The Assumption Hunt

Story Hook

Every plan contains assumptions. The dangerous ones are invisible.

Mission

For one initiative, list assumptions under:

  • Customer need.
  • Usability.
  • Feasibility.
  • Data.
  • Security/privacy.
  • Performance.
  • Adoption.

Mark the riskiest assumption.

Evidence

One assumption map and one experiment to test the riskiest assumption.

Reflection

Which assumption were we treating as fact?

Badge

Risk Spotter.

Quest 4: The Smallest Useful Experiment

Story Hook

The team wants to build a full solution, but the question is still uncertain.

Mission

Design an experiment that can be completed in one week or less.

Experiment options:

  • Prototype test.
  • Customer interview.
  • Feature flag release.
  • Manual concierge workflow.
  • Analytics review.
  • Technical spike.
  • Support-ticket analysis.

Evidence

Experiment result and decision: scale, refine, or stop.

Reflection

What did we learn before spending full build effort?

Badge

Experiment Builder.

Quest 5: The Batch Size Challenge

Story Hook

Large changes are hard to review, test, and release. The team wants faster feedback and lower risk.

Mission

Take one planned large change and split it into smaller increments.

Each increment should have:

  • Clear purpose.
  • Reviewable size.
  • Test approach.
  • Rollback or mitigation path.

Evidence

A large change split into at least three smaller deliverable increments.

Reflection

What became easier when the batch became smaller?

Badge

Flow Improver.

Quest 6: The Definition Of Done Upgrade

Story Hook

The team says work is done, but quality issues still appear later.

Mission

Pick one workflow and update Definition of Done to include:

  • Problem/outcome confirmed.
  • Tests appropriate to risk.
  • Observability for important flows.
  • Security/privacy check if relevant.
  • Performance consideration.
  • Documentation/runbook update if needed.

Evidence

Updated Definition of Done used on one real work item.

Reflection

Which late surprise does this prevent?

Badge

Done Means Trusted.

Quest 7: The AI Accountability Check

Story Hook

AI helps the team move faster, but the team needs guardrails so speed does not outrun understanding.

Mission

Choose one AI-assisted workflow and define:

  • Allowed use.
  • Prohibited use.
  • Human review requirement.
  • Data sensitivity rule.
  • Test or validation rule.
  • Security concern.

Evidence

AI usage rule added to team working agreement.

Reflection

Where does AI help us most? Where could it create hidden risk?

Badge

AI With Judgment.

Quest 8: The Incident Without Blame

Story Hook

Something went wrong. The team can either search for a person to blame or improve the system.

Mission

Run a mini postmortem:

  • Impact.
  • Timeline.
  • Detection gap.
  • Contributing factors.
  • What went well.
  • What should change.
  • Owner and due date.

Evidence

One system improvement completed.

Reflection

What made the problem possible?

Badge

Learning From Failure.

Quest 9: The Stakeholder Feedback Loop

Story Hook

Stakeholders see the product late and ask for changes late. The team wants faster alignment.

Mission

Create one lightweight feedback loop:

  • Prototype review.
  • Weekly demo.
  • Decision log.
  • Acceptance examples.
  • Customer evidence review.

Evidence

One stakeholder decision made earlier than usual.

Reflection

What misunderstanding did early feedback prevent?

Badge

Alignment Builder.

Quest 10: The Team Lead Loop

Story Hook

The team lead wants to move from status tracking to learning leadership.

Mission

For one week, run the loop:

  • Context.
  • Commitment.
  • Action.
  • Evidence.
  • Refinement.

Evidence

One weekly update written in this format.

Reflection

What changed when we discussed evidence instead of only tasks?

Badge

Loop Keeper.

Quest 11: The Role Clarity Reset

Story Hook

Work slows down because ownership is fuzzy.

Mission

For one active initiative, clarify:

  • Product/stakeholder responsibility.
  • Developer responsibility.
  • QA responsibility.
  • IT/admin responsibility.
  • Operations responsibility.
  • Team lead responsibility.

Evidence

Simple role map for the initiative.

Reflection

Which handoff became clearer?

Badge

Ownership Mapper.

Quest 12: The 30-Day System Improvement

Story Hook

The team has learned enough. Now it must improve how it works.

Mission

Choose one system improvement:

  • Smaller PRs.
  • Better acceptance examples.
  • Earlier QA risk review.
  • CI stability.
  • Observability.
  • Security checklist.
  • Weekly experiment review.
  • Faster stakeholder feedback.

Evidence

Before/after comparison after 30 days.

Reflection

Did the change improve value, flow, quality, trust, or learning?

Badge

System Improver.

Scoreboard

Use this scoreboard lightly. The purpose is motivation, not competition theater.

Badge Evidence Required Review
Customer Clarity Problem statement and metric Product/stakeholder
Product Bet Maker Request reframed as bet Product trio
Risk Spotter Assumption map Team lead
Experiment Builder Experiment decision Team
Flow Improver Smaller delivery increments Engineering lead
Done Means Trusted Updated DoD used once QA + dev
AI With Judgment AI working agreement Tech lead
Learning From Failure Postmortem action done Team lead
Alignment Builder Earlier stakeholder decision Stakeholder
Loop Keeper Weekly loop update Team lead
Ownership Mapper Role map Team
System Improver 30-day before/after Leadership

Team Reference Guide

How To Explain This Page

Use this page as a reference conversation, not as a checklist to read aloud. Start by explaining why the topic matters, then connect it to current team work, and finally ask what behavior should change.

The most useful way to teach this material is to move from concept to example. Explain the principle, show how it appears in daily work, ask the team where it is currently strong or weak, and finish with one small action.

Guidelines For Teams

  • Connect the topic to a current project, customer problem, incident, or decision.
  • Translate concepts into visible behaviors.
  • Keep the guidance lightweight enough to use weekly.
  • Capture decisions, examples, and improvements back into the wiki.
  • Review the page again after a project, incident, or retrospective to update what the team has learned.

Reflection Questions

  • What part of this topic is already working well for us?
  • What part is still mostly theory?
  • What is one behavior we can change in the next 30 days?