A software discovery phase should produce a decision package you can use: a clear problem, a map of the current workflow, an inventory of the systems and data involved, practical solution options, a bounded first release, and an estimate with visible assumptions. The exact deliverables belong in the engagement scope before the work starts.
The test is whether the package helps you decide what to fund next. You should be able to explain the recommended approach, the alternatives considered, the important unknowns, and what the next investment will deliver.
Discovery depth should match the decision. A single workflow assessment may need a clear map, a system inventory, and a narrow feasibility check. A new application with several user groups may also require prototype testing and deeper technical investigation.
What belongs in a software discovery package?
Use the following checklist to review a proposed scope or a completed package. It describes useful outputs to agree on with the supplier. It does not mean every discovery engagement includes every artifact at the same level of detail.
| Deliverable | What a buyer should receive | Decision it enables |
|---|---|---|
| Problem and success measures | The workflow, users, operational problem, baseline, desired outcome, and boundaries. | Whether the problem is worth addressing now. |
| Current workflow map | Steps, owners, systems, handoffs, delays, and exceptions validated by people doing the work. | Which part of the operation should change first. |
| System and data inventory | Applications, vendors, records, access methods, constraints, and evidence of what has been checked. | Whether the proposed connections and data use are feasible. |
| Options and recommendation | Practical choices, tradeoffs, reasons for the recommendation, and unresolved questions. | Whether to configure, connect, improve, replace, build, or defer. |
| First-release scope and acceptance | Prioritized workflows, exclusions, user roles, and testable completion criteria. | What the first implementation will actually deliver. |
| Risks and dependencies | Known constraints, assumptions, open questions, owners, and next verification steps. | What must be resolved before a larger commitment. |
| Phased estimate and handoff | Effort and cost assumptions, sequence, dependencies, responsibilities, and usable project notes. | What to fund next and what another team needs to continue. |
A meeting, workshop, or demonstration can help produce these outputs. The deliverable is the recorded finding or decision that remains useful after the session ends.
1. A problem statement with measurable success
Start with the work that is difficult today. Name who performs it, who receives the result, and where time, errors, or uncertainty enter the process.
For example, "we need a customer portal" describes a possible solution. A more useful problem statement might say that customers call for job status because staff must combine information from three systems before answering. Discovery can then evaluate whether a portal, a simpler status message, a reporting change, or an integration is the right next step.
The package should state the baseline and the method used to establish it. If nobody has measured weekly call volume or staff time, record that as an unknown and identify a practical measurement step. Avoid turning an interview estimate into a claimed financial result.
Agree on a few success measures, their owners, and how they will be checked after implementation. The business automation ROI guide explains how to turn operational changes into a business case without treating every saved minute as cash savings.
2. A workflow map that includes exceptions
A useful current-state map shows how the work happens today, including the spreadsheets, email handoffs, manual checks, and vendor screens that sit between the official steps.
For each important step, identify the trigger, responsible person, information required, system used, result, and next handoff. Include the path for missing information, rejected work, cancellations, and corrections.
Ask people who perform the work to review the map. A process understood only by the project sponsor may omit the details that determine whether the change will be accepted. Honor Tech's before-and-after automation examples show how a workflow can make those handoffs visible.
The proposed future state should explain which steps change, which remain manual, and who handles exceptions. That makes it possible to challenge the solution before implementation makes it expensive to change.
3. An inventory of systems, data, and access
The inventory should name the systems involved, who owns them, which records matter, and how information can be accessed or changed with authorization.
For an integration, a product name and an API link are only a starting point. The team needs to establish whether the required operations and fields are available on the client's plan, whether suitable test access exists, and which limits or vendor approvals affect the design.
Record the evidence behind each conclusion. "Vendor documentation reviewed" is different from "a test record was created successfully in the sandbox." Both can be useful, provided the package does not present them as equivalent proof.
Where sensitive information is involved, define the roles, approved data uses, and access boundaries that affect the work. Start with documentation or redacted samples where those are sufficient. Honor Tech's security and vendor readiness page explains the project questions that can be brought into this discussion.
If a migration is involved, inventory history, relationships, attachments, quality concerns, and destination rules. The business data migration cost guide explains how those findings affect the budget for the move.
4. Options with a reasoned recommendation
Discovery should give you enough comparison to understand why an approach is recommended. Depending on the problem, the options might include configuring an existing product, changing a process, adding an integration, improving an application, or building a focused new tool.
Compare the choices against the same requirements. Consider implementation effort, vendor restrictions, operating cost, staff adoption, maintainability, ownership, and the consequences of failure.
The recommendation should acknowledge when an existing tool remains a good fit. The custom software versus off-the-shelf decision guide is useful when the choice involves a new build. For an aging application, the legacy software modernization guide can help frame incremental alternatives.
Deferring a project can also be a sound recommendation when the value is unclear or a critical dependency is unavailable. The package should explain what new evidence would justify reconsidering it.
5. A first-release scope with acceptance criteria
The scope should describe the smallest useful outcome the business can operate. Separate required workflows from later improvements, and state exclusions plainly.
Acceptance criteria should describe observable behavior. "Sync customers" is too vague to settle a disagreement. A better criterion identifies the triggering event, required fields, destination behavior, handling of duplicates, and evidence of completion.
In a fictional work-order integration, one criterion might require an approved work order to create exactly one draft invoice with the agreed customer and line items. An unknown customer should enter a visible exception queue without creating an invoice. Staff should be able to correct the match and retry without producing a duplicate.
That example defines both successful behavior and a practical exception. The implementation team can estimate it, the business can review it, and testing can produce evidence that it works.
6. A prototype or technical proof when it resolves a question
Ask what uncertainty a prototype is intended to reduce. A clickable screen can test whether users understand a workflow. A small technical proof can investigate whether a vendor interface supports the required transaction. These are different outputs.
A prototype does not establish production security, performance, data integrity, or maintainability by itself. Record what was tested, what was learned, and what remains unproven.
Keep the proof bounded. For example, agree to test one authorized record through one interface, capture the result, and document the limitations. Turning discovery into a partially built application can leave both parties unclear about what is complete.
Where a prototype or proof is unnecessary, omit it from the scope and spend the effort on the uncertainty that actually affects the decision.
7. A risk and decision register with owners
A useful register identifies the condition, its consequence, the next action, the owner, and when the answer is needed.
For example: "The current vendor has not confirmed whether attachments are included in exports. The migration estimate excludes extracting them through another method. The client system owner will obtain a sample export before implementation approval."
Distinguish assumptions from verified facts and unresolved decisions. Include dependencies outside the engineering team's control, such as a subscription change, vendor response, data approval, or staff review window.
The goal is a manageable set of consequential items. A short register with assigned actions is more useful than a long catalog of generic risks.
8. A phased estimate and a usable handoff
The estimate should connect proposed work to deliverables, assumptions, effort, rates or project fees, and excluded costs. Identify which numbers are firm, which are planning estimates, and which depend on a finding that is still open.
Calendar duration should also show client decisions, vendor dependencies, testing, and release constraints. The systems integration timeline guide explains why engineering hours and elapsed weeks need separate treatment. Honor Tech's pricing page describes the available engagement models.
Agree on the handoff before discovery begins. That can include editable workflow maps, the inventory, decisions, findings, scoped requirements, estimate assumptions, and any proof code or prototype explicitly included in the engagement. Clarify ownership and permitted use in the agreement.
Another qualified team should be able to understand the package. It may still need to validate the findings in its own environment, but it should not have to reconstruct the purpose of the project from meeting notes.
How to review the finished discovery work
Before accepting the package, walk through one representative workflow with the supplier and the people who perform it. Follow the ordinary path, then an important exception. Ask where each requirement, system constraint, and decision appears in the deliverables.
If a missing answer materially changes feasibility, cost, or acceptance, record how it will be resolved before approving dependent work. Smaller questions can remain open when they have a clear owner and do not undermine the next decision.
Start with a discovery scope that fits the decision
For one operational workflow, Honor Tech's workflow and integration assessment provides a defined starting point. Its agreed outputs include a workflow map, system inventory, integration and improvement options, risk findings, and a phased estimate. Prototype work and implementation are included only when expressly scoped.
Our software delivery process shows how that decision feeds into planning, implementation, launch, and ongoing improvement. Bring the workflow, the people involved, the current systems, and the decision you need to make to a discovery conversation. The scope can then define the evidence and deliverables needed for that decision.