You’ve start­ed work­ing with data to get mea­sur­able insights into the val­ue your offer­ing pro­vides. A mix of qual­i­ta­tive and quan­ti­ta­tive meth­ods is in place to help gen­er­ate mean­ing­ful results. Based on guid­ance from the field, you’re draw­ing from tools like inter­views, feed­back rounds, or focus groups, along­side met­rics such as click-through rates, con­ver­sion rates, or scaled sur­veys.

The cho­sen meth­ods match your cur­rent stage – whether that’s usabil­i­ty test­ing dur­ing the pro­to­type phase, A/B test­ing, or track­ing your One Met­ric That Mat­ters (OMTM).

You’re not just track­ing activ­i­ties and out­puts (like the num­ber of par­tic­i­pants), but also start­ing to gath­er ear­ly out­come indi­ca­tors – aligned with lev­el 4 of the impact lad­der.

This approach gives you a sol­id data foun­da­tion for deci­sion-mak­ing. It helps show where your idea is already work­ing – and where improve­ments are need­ed. Ide­al­ly, a base­line has been set to make changes over time more vis­i­ble. The meth­ods are sim­ple enough to inte­grate into dai­ly work­flows, so the data col­lect­ed is action­able with­out over­load­ing the team.

Depend­ing on your set­up, tools like Excel, SPSS, or feed­back plat­forms may be in use to help ana­lyze data effi­cient­ly and strength­en the social impact of your offer­ing.