For funders and program sponsors
When the programs you fund run on Mently, outcome data is captured as mentoring happens, giving you consistent, comparable evidence instead of end-of-grant anecdotes.
Funders invest in mentorship because it changes lives, but most evaluation still relies on attendance counts and a few success stories collected at the end of the grant. Effective mentorship program evaluation needs data gathered throughout the program, in a consistent format across grantees.
Each grantee measures differently, so programs cannot be compared or aggregated across a portfolio.
Reports show how many sessions happened, not whether participants built the skills the program promised.
Problems surface in the final report, when it is too late to support the grantee or adjust the program.
Evaluation framework
Before the program starts, agree with the grantee which two to four outcomes matter (for example skill gains, milestone completion, employment, or venture progress) and the indicator that will evidence each one.
Ask for a baseline assessment of each participant at onboarding. Without it, end-of-program results cannot show change.
Session counts matter, but so does whether pairs are engaged and whether mentors are effective. Look for engagement over time and participant feedback on their mentor.
Repeat the assessment at the midpoint and end of the program. Progression by individual and by cohort is the strongest evidence a mentorship program can offer.
Ask every grantee for the same report structure so results can be compared. Programs that run on Mently can export cohort and participant reports from the analytics and outcomes dashboard as PDF or CSV.
How it works
Lock two to four outcomes and indicators before the program starts.
Require a short baseline assessment at onboarding so later results show change.
Engagement, progression, and mentor quality land in one structured dataset.
Grantees share consistent PDF or CSV reports you can compare across the portfolio.
How Mently helps
Mently is used by the organisations running the program. Outcome data is a by-product of running it, not an extra reporting task.
Programs are set up with goals and milestones from day one, aligned to the outcomes you agreed.
Skill progression is measured against a baseline for each participant and across the cohort.
See which mentors drive the strongest participant progress, using engagement and feedback data.
Grantees export reports formatted for funders and boards, filtered by cohort, metric, or date range.
Who it's for
Get comparable evidence from the mentorship programs in your portfolio and make renewal decisions on outcomes.
Show leadership what sponsored mentorship programs achieved with clear, structured reporting.
Meet reporting requirements without the end-of-grant scramble, because the data is already collected.
Mently for nonprofitsWork with structured progression data rather than reconciling spreadsheets from different programs.
Outcomes
Portfolio decisions rest on the same outcome types, not incompatible spreadsheets.
Engagement and progression issues surface during the grant, not only in the final report.
Grantees export reports from data already captured while the program ran.
FAQ
Combine outcome metrics (skill progression against a baseline, milestone completion, and goals such as employment or venture progress) with quality metrics (engagement over time and participant feedback on mentors). Activity counts like sessions held are useful context but not evidence of impact on their own.
Mently is used by the organisations running the program. Grantees share the reports they generate with you. Book a demo to discuss how reporting could work across your portfolio.
Yes. Programs running on Mently capture the same types of data, so reports can follow a consistent structure across grantees.
Before the program launches. Agreeing outcomes and capturing a baseline at onboarding is what makes end-of-program results meaningful.
See how the programs you fund could report consistent outcomes with Mently.