Definition
A target is the specific numerical value that an indicator is expected to reach by a defined point in time (typically programme end). Targets quantify ambitions and allow programmes to measure success objectively. Every indicator should have a target set at the baseline, and targets should be disaggregated when the indicator itself is disaggregated. Targets are not guesses; they are grounded in baseline data, programme theory, resource availability, and contextual realities.
Why It Matters
Targets transform vague aspirations into concrete, measurable commitments. They create clarity about what "success" looks like and provide benchmarks for assessing performance. Targets enable stakeholders to hold programmes accountable and allow programmes to identify when they are falling behind and need to adjust. Unrealistic targets (too easy or impossible) undermine credibility and learning; well-calibrated targets are ambitious but achievable given programme scope and resources.
In Practice
If a baseline survey shows that 20 percent of farmers use improved seed varieties, a three-year agricultural programme might set a target of 45 percent by endline. This target would be informed by programme activities planned, local seed availability, farmer adoption rates in similar contexts, and resources available for farmer training. The team would then track progress annually against this 45 percent target. If a midline shows only 28 percent adoption at year two, the team knows they are behind trajectory and might intensify training, adjust variety recommendations, or address supply-chain barriers. Targets should be set separately for different population groups if the indicator is disaggregated — for example, 40 percent for female-headed households and 48 percent for male-headed households, to reflect different baseline starting points or contextual factors.
Related Topics
- Target Setting — Process for setting ambitious and achievable targets
- Baseline Design — Determining the starting point from which targets are set
- SMART Indicators — Criteria for designing measurable indicators with achievable targets
- Indicator Selection — Choosing which indicators to track
- Disaggregation — Setting separate targets for different population groups