Guides

Guides & Resources

Practical guides to help you get the most out of ScrumDo, from planning and sensemaking to portfolio leadership and governed agents.

Stacked practical guides for flow, planning, customer signals, and governed agent work
Governed BYOA field guide

Ten resources for keeping agent work connected to human judgment.

Start with the definition, inspect the complete product loop, then move into context, profiles, verification, attention, current customer proof, Enterprise adoption, and readiness.

Interactive · about 6 minutesAgent governance readiness assessmentScore one real workflow. Answers stay in your browser.
01

What is governed BYOA?

Governed BYOA lets an organization use its own AI providers and credentials while the work system controls context, permissions, approvals, proof, and the record of what happened.

03

How ScrumDo gives agents context without hidden memory

App-managed context gives an agent the smallest relevant, authorized evidence set for one run, with provenance, scope, expiry, and human control visible instead of relying on an opaque memory store.

05

Model governance is not enough: govern the work loop

Model oversight asks whether an AI system is approved and behaving within policy. Work-loop governance asks whether customer meaning, human decisions, agent action, proof, and learning stayed connected in one real piece of work.

07

Governed attention, not more notifications

A governed attention system routes the few decisions, proof gaps, exceptions, and risks that need a person back to the exact work context, while optional updates can be watched, muted, or delivered through configured channels.

08

From "whoever yelled loudest" to work the team could finish

Two current customer interviews describe how a shared work surface helped a manager and Scrum Master align priorities, see blockers, support the team, and give customers a traceable account of requested work.

Search & browse

Find a guide by topic or keyword.

Filter by category or search titles and summaries. Category sections below update as you browse.

Governed agents

Define governed BYOA, follow the complete work loop, and prepare agent use for Enterprise review.

Enterprise AI provider credentials passing through ScrumDo governance envelope with KMS vault, spec approvals, and signed proof ledger

What is governed BYOA?

Governed BYOA lets an organization use its own AI providers and credentials while the work system controls context, permissions, approvals, proof, and the record of what happened.

Architecture comparison between opaque vector store memory trap with ghost drift versus ScrumDo just-in-time bounded context package with zero retention

How ScrumDo gives agents context without hidden memory

App-managed context gives an agent the smallest relevant, authorized evidence set for one run, with provenance, scope, expiry, and human control visible instead of relying on an opaque memory store.

Strategic contrast between isolated model oversight checklist and full work-loop governance from sensemaking to realized value

Model governance is not enough: govern the work loop

Model oversight asks whether an AI system is approved and behaving within policy. Work-loop governance asks whether customer meaning, human decisions, agent action, proof, and learning stayed connected in one real piece of work.

Operations contrast between noisy bot notification spam and ScrumDo governed attention funnel delivering only high-leverage decision slabs in card context

Governed attention, not more notifications

A governed attention system routes the few decisions, proof gaps, exceptions, and risks that need a person back to the exact work context, while optional updates can be watched, muted, or delivered through configured channels.

Pyramid architecture showing human wisdom and economic sensemaking governing living records and agent swarms

Governing AI agents with human wisdom

Agents can now act faster than an organization can finish making sense of the work. Keeping human wisdom in charge means sequencing by economic priority, deciding from real evidence in human sensemaking, and building trust that holds as you scale.

Getting Started

Start with rooms, flow, and the basics of keeping stories attached to work.

Participants arranged around a shared room canvas for collective listening and facilitation

Rooms that build trust through transparency

Give Crew, Managers, and customers, known and anonymous, one room where work, evidence, and decisions are visible, and where people interpret their own stories so trust is earned, not assumed.

Work branching, waiting, and reconnecting across a non-linear flow canvas

Flow is not a straight line

A board is not a straight line. Different kinds of work move in different shapes, and ScrumDo lets you design those flows on a canvas, while still giving everyone one agreed structure that mirrors how value actually moves.

Customer stories staying attached as work cards and planning choices take shape

From stories to wiser next steps

Human beings do not simply report reality; we live through it narratively. Keep the story whole and attached to the work you choose, instead of flattening it into a summary deck where the meaning quietly disappears.

Planning & Prioritization

Shape work, sequence priorities, and plan with evidence instead of hope.

Multi-dimensional planning canvas comparing 1D flat backlog trap against 2D spatial horizon sequencing

When planning needs a canvas, not a backlog

A list is fine until the work grows larger and more entangled than order alone can hold. Reach for a shared canvas when sequencing, dependencies, capacity, and tradeoffs all need to be visible in one place.

Release planning canvas with epics, dependencies, and living portfolio budget envelopes

Planning canvas and portfolio budget

A plan is not a document you produce once; it is how strategy, tactics, and mission stay coherent as reality keeps moving. Sensemaking is what keeps a plan honest, and ScrumDo keeps it on one surface with the evidence still attached.

Build, Improve, and Operate capacity streams with protection rails against maintenance creep

Strategy streams: Build, Improve, and Operate

A portfolio review should show whether capacity is creating new value, improving the system, or absorbing operational load. Strategy streams make that mix visible without taking work away from the teams doing it.

Cost of delay chart comparing estimated versus actual subscriptions sold when delivery arrives late

Cost of Delay for everyday prioritization

Most prioritization debates are arguments about meaning, not math. Cost of Delay gives a team one sharper, shared question, what gets more expensive the longer it waits?, so you can tell expensive delay apart from merely loud work.

Four classes of service swimlanes with distinct execution policies and delay cost profiles

Classes of Service without the jargon

Not all work means the same thing or carries the same urgency. Classes of service let the board reflect that reality instead of flattening everything into one queue.

Board card flagged with blocker telemetry, root cause clustering, and CFD drag metrics

What counts as a blocker

A blocker is the system trying to tell you something. Make it visible and named, instead of letting it harden into private frustration that the board never reflects.

Empirical flow forecasting with Little’s Law, Monte Carlo 2,000-trial replay, and Lead Time percentiles

Plan with flow metrics, not hope

Hope is not a plan. Read the lead time histogram, apply Little’s Law, and watch the cumulative flow diagram so a delivery date becomes a defensible range you can manage, not a number someone wishes were true.

Portfolio & Leadership

Guide portfolio decisions, budgets, and leadership reviews with the work still attached.

Portfolio decision record documenting lived problem context, options evaluated, accepted tradeoffs, and scheduled review

Portfolio decision records for leaders

Portfolio decisions should not be reconstructed from chat, calendar memory, and status decks. Keep the decision, context, approval state, and planning changes attached to the operating record.

Employee and worker experience signal feeding portfolio decisions

Employee experience signal for portfolio decisions

Front-line and worker experience can reveal friction that status reporting misses. Use it as bounded evidence for portfolio decisions, not as surveillance, performance scoring, or automatic proof.

Customer signals compared across segments before portfolio choices are made

Segment sensemaking for portfolio decisions

Averages hide the differences that matter most. Compare what different segments are actually experiencing before the portfolio moves, instead of deciding from blended noise.

Portfolio leaders reviewing outcomes against value, timing, risk, and service impact

Outcome reviews for portfolio leaders

A review that ends at "approved and shipped" never asks what changed that mattered. Review portfolio moves against value, timing, risk, and service, and test for contribution rather than a tidy verdict.

Living executive report dashboard with CFD bands and direct drill-downs to card evidence

Reports and outcomes rooted in evidence

A report should let you see the work, not perform it. Reports and outcomes in ScrumDo stay rooted in actual evidence, the stories people told and the value tracked throughout, so they build trust instead of the fancy dashboards that quietly erode it.

Sensemaking & Evidence

Listen better, interpret honestly, and keep evidence attached to decisions.

Story cards with signifier prompts so people interpret their own experience

Enterprise and custom sensemaking for complex situations

Some situations are too complex, too human, and too consequential for an off-the-shelf survey. This is how enterprises shape listening that fits their reality, so they can understand what is really happening and choose a next-wise action.

Parallel safe-to-fail learning probes with damping and amplifying signals

Learning probes for service teams

When the path is genuinely uncertain, courage is not the same as a big commitment. A learning probe is a small, safe-to-fail experiment designed to teach you something, and in ScrumDo it can be defined once, cloned across teams, run by governed agents, and rolled up into learning at scale.

Ready to try it?

Explore the product or talk with support.

Compare the plans for your work, or reach out if you need help shaping a governed agent pilot or larger portfolio rollout.