Integration should begin at design stage
Quantitative and qualitative tools should not be designed separately and combined only at the end. The evaluation matrix should show how each method contributes to each evaluation question. This creates a clear logic for triangulation.
Use qualitative evidence to explain patterns
Survey results can show whether an outcome changed or how responses differ by group. Qualitative data can help explain why those differences exist, how beneficiaries experienced the intervention and what contextual factors shaped results.
Do not let quotes stand alone
Quotes are valuable when they illustrate a finding, but they should not replace analysis. A strong report introduces the finding, uses a short quote as evidence and then interprets what the quote contributes to the argument.
Look for convergence and divergence
Triangulation is not only about confirming the same result across sources. Differences between survey data, interviews and documents can be analytically important. They may reveal implementation gaps, group differences, measurement problems or contested interpretations.
Present findings around questions, not methods
A common reporting mistake is to put all survey results in one section and all qualitative findings in another. A more useful structure presents integrated findings under each evaluation question or theme.