Startup & Growth

Software Project Discovery: Outputs to Agree Before Development

Agree software discovery outputs: workflow scope, technical findings, prototypes, release boundaries, assumptions and a decision register.

Purushottam Kumar Suman
Purushottam Kumar Suman
Founder & CEO, Drema AI
3 min read
Professionals planning strategies around a meeting table

Software discovery should produce decisions and evidence that make the next investment easier to assess. Agree the outputs before commissioning it: workflow scope, user needs, risky dependency findings, a prioritised release and an estimate with assumptions. Discovery is useful when it reduces uncertainty; a collection of workshops is not itself the outcome.

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01

Start with the decision discovery must support

Decide whether the immediate goal is to approve development, compare build and buy, test a risky integration or narrow an MVP. Those goals need different activities. A clickable prototype can explain a workflow but will not prove an unavailable third-party API can support it.

Give the team access to the right people and authorised examples. Include users who handle exceptions, not only the stakeholder who requested the project. Record constraints that cannot change, such as a required existing system or a time-critical operating deadline.

02

Define a deliverables register

OutputWhat it should containDecision it supports
Workflow mapRoles, triggers, states and exceptionsWhat needs to be built or changed
Release boundaryIncluded and deferred journeysWhat the first investment buys
Prototype or interaction exampleCritical behaviour and open questionsWhether users understand the proposed task
Technical findingsDependency access, experiments and limitationsWhether the approach is feasible
Data and integration inventorySources, ownership and interfacesMigration and connection scope
EstimateWork breakdown, assumptions and confidenceBudget and sequencing
Decision registerChoices, reasons, owner and unresolved itemsWhat must happen next

Agree which files and working materials the customer receives. A presentation may summarise the findings, but editable diagrams, requirements and experiment notes help the next team use them.

03

Match evidence to the uncertainty

For a hypothetical service portal, user interviews might establish how customers track requests. A small technical experiment might establish whether the existing system exposes the required status safely. Neither result proves the other.

Document what an experiment actually tested: environment, permissions, example data and observed outcome. Mark untested volume, production access or provider approval clearly. A successful mock response does not establish that a live integration is ready.

04

Close discovery with a decision review

Review unresolved assumptions and identify which block implementation. Some findings should change the plan: reduce the first release, choose a different integration or delay work until access exists. Discovery should permit that conclusion rather than treating full development as an inevitable next purchase.

Separate required work from later options. An estimate should identify the baseline it prices, customer responsibilities and changes likely to affect delivery. Use the requirements document template to make that baseline usable.

05

Discovery questions

How long should discovery take?

Choose a bounded period based on the decisions and access required. Agree outputs and review points rather than a universal duration.

Can discovery replace implementation testing?

No. It can reduce selected uncertainties, while the delivered product still needs verification against its requirements.

Bring the decision you need to make and the largest unknowns to a software discovery discussion.

Purushottam Kumar Suman
Written by
Purushottam Kumar Suman
Founder & CEO, Drema AI

Founder and CEO of Drema AI. Builds AI systems, SaaS platforms and industry software — and writes about what actually survives production.

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