o account for the uncertainty in the estimation of time saved from the TFD, we have modelled 3 scenarios, the third scenario being the base scenario as this is the one with most nuances. Scenario 1: This scenario relies solely on survey data (58 answers) to estimate time saved for 2023, assuming it remains constant over time. The calculated time saved per month using this method is 1.46 hours. Scenario 2: To improve our estimation, we have included time saved estimates provided by 4 individuals we interviewed who provided quantified time saved. Combining these interview responses with the 58 survey responses, we calculated the average time saved based on the 62 total responses (58 surveys + 4 interviews), resulting in an average time savings of 1.88 hours. Scenario 3 (base scenario): To improve the historical estimation of time saved, instead of assuming a constant time saved per user over time, we recognise that variations in usage over previous years may have influenced their perception of time saved. To enhance accuracy in estimating time saved for preceding years, we calculated a usage intensity coefficient by dividing the number of page loads per active user in a given year by the number of page loads per active user in 2023. We then multiplied the time saved calculated from the survey and interviews (1.88 hours) by this coefficient to obtain the historical time saved, as outlined below: Years 2015 2016 2017 2018 2019 2020 2021 2022 2023 Page load / active user NA NA NA NA 164 166 111 139 99 Intensity coefficient 1 1 1 1 1.7 1.7 1.1 1.4 1 Hours saved / month 1.88 1.88 1.88 1.88 3.10 3.16 2.10 2.64 1.88 Survey question design and mapping Social Finance Limited +44 (0) 20 7770 6836 87 Vauxhall Walk, London SE11 5HJ socialfinance.org.uk 103 Respondents were initially 