The Plain-English Question Box
Stakeholders describe what’s broken in their own words. Capture the problem, the people affected, and why it matters — not a Gantt chart or a feature wishlist.
These software delivery management features start with one request written in everyday language. Business and IT review it together, ask the missing questions, estimate the work on both sides, and decide whether it should move forward.
Start with one request. Let IT review it early, ask the missing questions, estimate the business and technical work, and decide whether it should move forward before anyone starts building.
The point is not more process. It is fewer surprises once people start building.
First, decide whether the request needs more investigation. Later, after the questions and both estimates are in, decide whether to fund the build.
The person closest to the work explains the idea in everyday language. No project jargon or solution design is required.
Someone from IT confirms which systems are involved, flags extra reviews when needed, and recommends how much follow-up the request deserves.
A reviewer records whether the request is ready for more questions or needs another path. Then the team answers the questions that fit that request.
The department sizes training, process change, adoption, and operational work. IT sizes the technical change. Both estimates remain visible.
Leaders approve, defer, or reject the work after the questions and both estimates. Saying the request is ready for more questions is not the same as approving the build.
Approved work moves into planning, testing, release, and outcome review without rewriting the original request into a disconnected ticket.
Features is the hub. Each linked page goes deeper on one part of software delivery—pick the problem that matches what you are trying to solve.
One place from the software request through release.
Turn an idea into a clear planKeep the original request, agreed details, team work, testing, and release together.
Keep requests connected to deliveryRun every software stage in one product—not an office suite.
Handle every stage in one placeRun approved software work—not a campaign board.
Run approved software work with the teamCapture a complete software request in everyday language.
Start a software request in plain languageAsk project-specific questions and keep every answer reviewable.
Ask the right questions before buildingSequence the work and check readiness before the first release starts.
Plan the work before the first releaseMake budget and capacity tradeoffs visible before you commit.
Decide what should move firstCollect software requests, review them once, and record the decision.
Collect and review software requestsPair the business estimate with the IT estimate before the yes.
See both sides of the work before saying yesAI drafts the questions. Reviewers keep the answers honest.
Use AI to draft follow-up questionsThe established intake category—built only for software change.
Intake built only for software changeThe department-to-IT front door for a software change.
The department-to-IT front doorA review step in front of Jira—not another Jira form.
Review requests before they reach JiraA comparison of AI requirements tools that stay reviewable.
Compare AI tools that stay reviewableRequirements software sized for teams without a project office.
Requirements tools for smaller teamsThe G2 category, without the regulated-ALM assumption.
Manage requirements without enterprise ALMCompare tools by where the work starts and what stays connected.
Tools that connect request to releaseOne understandable request-to-release path for teams without a project office.
Delivery management for smaller teamsStakeholders describe what’s broken in their own words. Capture the problem, the people affected, and why it matters — not a Gantt chart or a feature wishlist.
Bring IT in before the request is treated as a project. Confirm affected systems, flag additional reviews, and recommend how much follow-up the request deserves.
Additional technical reviews
Not another chatbot. Follow-ups that help everyone understand the request before time and money get committed.
Estimate the business and technical work separately before anyone starts coding. Training and rollout sit next to the build estimate in plain text.
Real-world example
A nonprofit wants to replace emailed client-intake PDFs with an online portal. Business and IT estimate the same first-release boundary before leadership can approve it.
Approve staff submission and review first. Move applicant self-service and SMS notifications to a later release until the CRM and document-retention questions are resolved.
Approval does not open until both estimates are submitted. Precision Foundry shows them together without combining them into an artificial score; a person makes the final decision.
One decision says whether the request needs more questions. A later decision, after those answers and both estimates, says whether the team should commit to building it.
Approved work does not all start at once. Rank what should move first when capacity is limited.
After a decision, pass a clear, agreed plan to the people who build — without rewriting the request into a new dialect.
Everyone can see what “finished” means before development starts — and testers verify that same shared record, not a rewritten ticket.
Keep the plan connected as it moves from approved idea into stories, tasks, and progress.
Document architecture, integrations, APIs, data models, and important implementation decisions before development begins.
Document where important information begins, how it moves between systems, what happens at each step, and who receives it. Give delivery teams shared context for requirements, integration changes, technical design, and testing.
Business Object → Source → Processing Steps → Destination → Owner
For example: a customer address begins in the customer portal, passes through the CRM, updates billing, and reaches a shipping provider.
An approved project is not automatically ready for developers to begin. Confirm that the delivery team has a buildable plan before work moves into Development—instead of resolving missing decisions during the first sprint.
Worth doing → Approved to proceed → Ready to develop
Ready-to-develop checks
Coordinate QA, user acceptance, validation evidence, and readiness on the same shared record the business user created at the start.
Track production defects, incidents, and operational problems from report through resolution. Use AI-assisted analysis and guided questions to clarify the problem, obtain approval, assign delivery work, and test the resolution on the same record.
Report → Analyze → Clarify → Approve → Assign → Test → Resolve
Coordinate release readiness, deployment plans, communications, production handoff, and release evidence on the same delivery record.
Testing passed → Release ready → Deploy → Communicate → Production handoff
If you know your job, you can use it. Screens and prompts stay in plain language on purpose.
Business and technical roles each focus on what they own — without drowning in someone else’s screens.
See AI use in dollars, with included budgets on each plan — no mystery token math.
See what needs a decision, what is ready to move, what is blocked, and how software work is progressing—without asking teams to build another status deck. See portfolio health, estimate coverage, approval queues, recorded project value, delivery progress, sprint status, production issue trends, and AI cost calculated from usage. Leaders can open the supporting detail without chasing spreadsheets, slide decks, or manual status reports. Recorded project value is the value case captured with the work, not realized financial return.
Request → Estimates → Approval → Delivery → Testing → Results
These reports draw from work already captured along that path. Not every stage currently has its own report.
What you can see
Questions these reports help answer
AI data and human review
When you choose an AI-assisted feature, relevant workspace context may be sent through the OpenAI API. Precision Foundry sends supported requests with store: false and does not opt in to model training through the application. AI output remains a draft until a person reviews and approves it.
Marketing campaigns, events, and standard office workflows need a general team tracker—not Foundry’s intake, estimates, and delivery plan. If that is your work, this is the wrong tool.
non-technical projectsFoundry always handles the software request, discovery, both estimates, and the decision. After the yes, choose where delivery work should live.
Keep requirements, stories, tasks, sprints, testing, and the original business request on one record. No Jira handoff is needed.
Review and approve the request in Foundry, then create one Jira Epic for the approved delivery record and paste its stable Foundry link into the Epic. Engineering can derive and manage child stories and tasks in Jira; each child item does not need a separate link.
Precision Foundry does not currently provide native or bidirectional Jira synchronization. Using the products together means choosing where each part of the work is kept. It does not mean they synchronize automatically. The handoff is manual at the Epic level.
Use Precision Foundry with Jira
Read our guide on Use Precision Foundry with JiraJira Product Discovery alternatives
Read our guide on Jira Product Discovery alternativesHow to connect business change management to Jira sprints
Read our guide on How to connect business change management to Jira sprintsRequest Private Alpha access. If approved, choose Starter, Professional, or Team and receive 30 complimentary days with no payment method required.
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