Estimate how much time and cost is being lost because internal knowledge is hard to find, reuse, and trust.
This calculator is for teams that already have the documents, guidance, prior outputs, and internal know-how they need, but still lose time searching for it, re-answering the same questions, or onboarding people too slowly. It gives a first estimate of the monthly hours and cost tied to poor retrieval, weak reuse, and internal findability gaps.
Best for organisations with shared drives, document sprawl, repeated internal questions, and teams considering better retrieval support.
Built around real search, reuse, onboarding, and internal retrieval pressure.
This calculator estimates how much time is being lost each month when staff cannot quickly find documents, reuse previous work, answer repeat questions efficiently, or get new starters up to speed.
The first result appears on-page. The full breakdown is sent after the report form is submitted, along with the recommended service fit and a copyable summary.
This is an indicative estimate based on the information provided. Real savings will vary by workflow design, team habits, data quality, and implementation scope.
The model looks at three common sources of loss: time spent searching for information, time spent answering repeat internal questions, and time spent onboarding new starters into an environment where guidance and prior work are hard to locate. It then applies realistic reduction assumptions to show what better findability and reuse could be worth each month.
The calculator estimates current search hours by combining staff count, weekly search frequency, and time spent per search. It then adds time spent answering repeat internal questions and time lost during onboarding. From there, it applies reduction assumptions to show the likely monthly hours saved, gross value, net value after tool cost, and annual net value.
Use it when the team knows the information exists, but access is still slow or unreliable.
A team with a large internal document or evidence base needed a structure that made previous work, guidance, and supporting material easier to search, trust, and reuse without forcing staff into a heavy software change process.
These pieces connect the ROI estimate to document retrieval, reusable internal knowledge, and practical knowledge environments.
No. This calculator is about retrieval, reuse, and internal findability. The value sits in faster access, reduced repeat asking, and better use of information the team already has.
It can include guidance notes, prior reports, project files, decisions, templates, SOPs, technical documents, spreadsheets, and other internal records staff need to find and reuse.
Because slow onboarding is often a findability problem. When guidance, prior work, and process knowledge are hard to locate, new starters take longer to get productive.
It often means useful information exists, but people cannot get to it quickly or do not trust what they find, so they ask colleagues again instead.
Usually a combination of better structure and better retrieval. In this service stack, that maps most strongly to Database Architecture and Custom AI Building.
If the result points to a real findability problem, send the document setup, current storage tools, repeat-question pressure, onboarding context, and the kinds of information people struggle to find. That makes it easier to see whether the stronger fix sits in structure, retrieval support, or both.
