Frontier Consultancy
POWER PLATFORM LANE · Feature/schema decisions, not implementation debugging.

HVE Squad / Power Platform client design

Decide what is needed.
Explain the features and data.

Use HVE to understand client needs, choose technology-specific features and compare the schemas that support them. Leave with a justified first-release design, not a code patch or a predetermined blueprint.

10Client decision scenarios
50Main HVE requests
1Need-to-feature-to-data method

Before implementation

Capabilities are choices, not a checklist.

Should an inspection app capture photos offline? Must checklists be versioned? Does a supplier contact represent more than one legal entity? HVE helps you evaluate the need and the data consequences.

01

Needs and features

Start with interview evidence. Select what belongs now, later, not at all or still needs validation.

02

Schema alternatives

Explain the entities, fields, relationships, history and access that selected features need. Compare a smaller model.

03

Scope and rationale

Apply a changed requirement, walk sample records and give the next person a decision pack they can explain.

Technology-specific, not code-centric.
Canvas mobile/offline, model-driven casework, flow routing, agent knowledge/actions, Pages self-service, custom workbench interaction and BI grain/lineage shape different decisions. Coding capability is not the objective of these exercises.

Live HVE uses the connected Cowork project and actual returned artifacts. Supplied client interviews/design-review findings are fictional; no app implementation or runtime success is implied.

Choose the Power Platform decision context

Which features? Which schema? Why?

Each guide provides client evidence, capability options, five HVE requests, schema alternatives, a changed need and a first-release decision-pack task. No required table/control blueprint is supplied.

10 exercises

01
Model-driven appPower Automate cloud flowCopilot Studio agentHVE: Capability decisions

Choose the CoE's minimum capability

Decide central/team responsibilities and first-service features. Distinguish use cases, decisions, service activity and reusable assets in the model.

Decide the CoE scope and data
02
Power Automate cloud flowAI BuilderModel-driven appHVE: Feature/data scope

Choose the order-review service

Evaluate extraction, correction, clarification and review features. Compare source/order/line/issue/history models as needs change.

Decide order features and schema
03
Power Automate Process MiningPower Automate cloud flowHVE: Insight/intervention decisions

Choose insight before automation

Compare rota, reminder and deeper analysis. Decide what event, pending-work, follow-up and experiment data the first service needs.

Decide the process-service model
04
Canvas appDataverse mobile offlineHVE: Feature/schema choices

Choose inspection features and data

Assess offline, photos, checklist versions and remediation. Derive visit/finding/evidence/history relationships instead of copying a ready schema.

Decide the canvas-app design
05
Power PagesModel-driven appPower Automate cloud flowHVE: Identity/history design

Choose supplier self-service features

Decide submission, correction, status and private review. Compare supplier/contact/application/revision relationships and visibility.

Decide supplier features and schema
06
Copilot Studio agentAgent flowHVE: Action/data boundaries

Choose what the agent knows and does

Scope knowledge, preparation, confirmation, submission and status. Separate transient conversation from persistent business request data.

Decide agent features and data
07
Power Automate desktop flowPower Automate cloud flowHVE: Operating-model data

Choose a safe managed handoff

Decide queue, reconciliation, history and ownership features. Model job intent, attempts, observations and accountable resolution.

Decide the operating data model
08
Power Apps code appDataverseHVE: Product/model tradeoffs

Choose a proportionate workbench

Assess custom interaction, availability explanation and accountability. Decide skill/assignment/history relationships without defaulting to an oversized scheduler.

Decide dispatch features and schema
09
Power BIModel-driven appPower Automate cloud flowHVE: Grain and casework

Choose explainable commercial insight

Decide diagnostic versus managed casework. Separate source facts, derived measures, investigation history and actual recovery evidence.

Decide insight features and data
10
Power PagesModel-driven appPower Platform solutionsHVE: Standard/variable design

Choose reusable versus client-specific

Evaluate required region, reviewers and client variation. Compare simple attributes, managed references and proportionate common schema.

Decide the client variation

Labels describe the decision context, not a mandatory architecture. Actual capabilities/entitlements need verification. Timings and live HVE require a representative rehearsal.

Reusable design decisions

Take the reasoning into client work.

Canvas reference case

From interview to offline/photo/checklist choices, then a model that explains zero/many findings and changing requirements.

Review the canvas decision exercise

Features before data

Use cases 01, 02 and 06 to choose a bounded capability set and justify persistent data.

Choose a decision problem

Variation and reuse

Use cases 05 and 10 to distinguish standard capability, client rules and schema variation without copying customer identity.

Review client variation

Evidence and decision outputs.

The result is a first-release feature/schema decision pack, with reasons and open questions. Earlier maker references are downstream examples, not prescribed schemas or core coding/debugging tasks.