Contents
A nonprofit increases its capacity to prepare sound applications
Starting point
A small nonprofit has useful programs but limited staff time to seek funding. Each application needs a suitable opportunity, an accurate account of the program, an eligible budget and commitments the organization can actually meet. The goal is more sound applications to genuinely suitable opportunities.
Staff read opportunities one by one, look for approved program information in old files, adapt previous answers, rebuild budgets and circulate drafts for checking. The same facts and decisions are repeatedly reconstructed.
Three ways to arrange the work
Same starting situation and goal in each. Switch at any point; the labels describe arrangements, not a ranking.
Build once, direct many applications
Test a redesigned workflow · authored illustration- The person
- Selects approved program descriptions, dated outcome evidence, budget assumptions, delivery limits and facts that need refreshing.
- AI
- Organizes those materials with source links and identifies gaps or conflicting figures.
- Result or handoff
- A reviewed reference set replaces repeated reconstruction from old applications.
- The person
- Defines what makes funding worthwhile and rejects opportunities that would distort the mission or overextend delivery.
- AI
- Compares supplied funding calls against those criteria and explains matches, exclusions and uncertainties.
- Result or handoff
- Staff choose a manageable set of genuinely suitable opportunities.
- The person
- Resolves new questions, checks each complete application, approves budgets and authorizes submission.
- AI
- Creates tailored drafts from approved facts, highlights new commitments, checks totals and flags unsupported claims.
- Result or handoff
- Review concentrates on consequential differences while retaining a complete final check.
Outcome
Assumed numbers · illustrative, not measuredAssume the team previously prepared two comparable, internally approved applications using 24 staff-hours per month. In the redesigned workflow, it prepares six using the same 24 staff-hours. The allowance includes factual preparation, eligibility checks, full review, correction and an allocated share of setup and upkeep. Assume equivalent total non-labour resources and the same quality standard. Under those assumptions, accepted preparation output per staff-hour is three times the baseline. This illustrates how familiar work could qualify as without a new product.
What would need to be measured
These are assumed numbers, not measured results. Test application suitability, factual accuracy, feasible commitments, comparable complexity, total time and costs, and whether enough suitable opportunities exist. Funding awards and eventual program benefits are separate downstream outcomes. Allocating setup costs over expected use requires an explicit horizon and sensitivity to lower reuse.
The team prepares six sound applications instead of two, using the same total resources. Funding decisions are still pending. What has improved, and what has not yet been demonstrated?
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How this connects to the policy
These policy sections explain the ideas in this example. They do not substantiate its invented outcome.
- 3. Configuration, outcomes and amplification (Policy framework)
- 8.2 Canonical Type I–IV outcome taxonomy (Policy framework)
- 8.3 Evidence proportional to the decision (Policy framework)
- 9.3 The curated reference loop (Theory companion)