Turn a brief into a reviewable plan.
Inspect the workload assumptions, compare production and review effort with available time, and surface missing prerequisites.
Open the planning labFrom brief to review
See how Fieldwork makes delivery assumptions, team capacity and review decisions visible before work moves forward.
Published demo screenshots, explanatory graphics and a synthetic voice.
Explore the working demos
Inspect the workload assumptions, compare production and review effort with available time, and surface missing prerequisites.
Open the planning labExplore reviewer assignment, required decision notes and status changes using a queue of fictional submissions.
Open the review dashboardAn independent demonstration by Dhairya Sharma. The video is an illustrated walkthrough, not a live screen recording. It uses fictional data and synthetic narration, with AI-assisted development. The two demos are separate and use fixed rules; they have no production integrations. Changes stay in browser memory and disappear on refresh.
A delivery brief can hide more work than a team can handle, or unclear review rules. Fieldwork makes these assumptions visible. This illustrated walkthrough uses screenshots from Dhairya’s independent portfolio demo.
The planning lab starts with a fictional brief: item volume, time per item, review coverage and team availability. Each input is an editable assumption, making the estimate straightforward to inspect and question.
In this preset, estimated work is sixty-six hours against seventy-five available. Production and review share that capacity. Onboarding, pilot work, rework and coordination are excluded, so the difference is not guaranteed spare time.
Unconfirmed permissions or unclear acceptance rules remain blockers. The checklist records example review acknowledgements, not verified consent. Editing the brief clears those acknowledgements, preventing an outdated review from carrying over to a changed plan.
The separate review dashboard shows fictional submissions and their owners. A submission needs an assigned reviewer before review can start. Clear status rules describe what can happen next and what information is missing.
Acceptance and requests for changes both need a written note. The workflow supports another submission and review after changes. Accepted records become read-only, while session activity provides a visible account of those decisions.
Together, these demos show a planning handoff and an organized review queue. They use fixed rules and fictional data, with AI-assisted development. There are no live business connections, and browser changes disappear on refresh.
Start with a paid review of one workflow: its steps, exceptions and acceptance checks. Dhairya can scope that review first, with any implementation priced separately after requirements and tests are agreed.
A paid review maps the steps, identifies exceptions and defines acceptance checks. Get a practical next-step plan; agree any implementation scope and price separately.