Process tracing evidence-test worksheet
Formulate hypotheses and systematically test evidence. Enter hypotheses/signals before analysis.
Process tracing evidence-test worksheet
Basic information
Enter evaluation basics
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
- Case: program / policy / organization
- Indicator-adoption meeting
- Evaluation questions
- Which decisions used training materials?
- Analyst
- Analyst A (fictional)
- Creation date
- July 1, 2026 (fictional)
Reason for this entry: Focus on a specific adoption event.
Writing tips and explanation for this section
About this section
Enter evaluation basics
Focus on a specific adoption event.
View the method explanationWriting tips
Follow each field’s heading to record the program name, focus, period, and other details. Leave undecided matters clearly marked as unresolved.
Read the full fictional exampleFormulate causal hypotheses
Fix main/competing hypotheses before collection
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
Scroll horizontally to view the table
| Hypothesis number | X produced Y through mechanism M | Main / competing |
|---|---|---|
| H1 | Training materials supplied comparisons and encouraged new indicators | Main |
| H2 | Indicators adopted to meet funder requirements | Competing; coexistence possible |
Reason for this entry: Hypotheses need not be exclusive.
Scroll horizontally to view the table
| Hypothesis number | X produced Y through mechanism M | Main / competing |
|---|---|---|
Writing tips and explanation for this section
About this section
Fix main/competing hypotheses before collection
Hypotheses need not be exclusive.
View the method explanationWriting tips
Keep the information in each row aligned. Scroll wide tables horizontally to see every column.
Read the full fictional exampleExpected evidence signals, predefined
List expected evidence under each hypothesis and decide test types beforehand
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
Scroll horizontally to view the table
| Hypothesis number | Expected signal | Hoop / smoking gun / doubly-decisive / straw test | Judgment if found | Judgment if not found |
|---|---|---|---|---|
| H1 | Materials received before adoption meeting | hoop | Consistent with necessary order, not proof | Could refute with complete receipt records; missing logs leave undecidable |
Reason for this entry: State conditions for absence to refute.
Scroll horizontally to view the table
| Hypothesis number | Expected signal | Hoop / smoking gun / doubly-decisive / straw test | Judgment if found | Judgment if not found |
|---|---|---|---|---|
Writing tips and explanation for this section
About this section
List expected evidence under each hypothesis and decide test types beforehand
State conditions for absence to refute.
View the method explanationWriting tips
Keep the information in each row aligned. Scroll wide tables horizontally to see every column.
Read the full fictional exampleCollect and judge evidence
Record evidence and test findings
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
Scroll horizontally to view the table
| Evidence number | Content and source | Corresponding hypothesis | Support / refute / undecidable |
|---|---|---|---|
| E1 | Fictional staff reply confirming receipt 2 days before the meeting | H1 | Consistent with necessary pre-meeting receipt; reading/use unconfirmed |
Reason for this entry: Sent logs do not confirm receipt, so a fictional acknowledgment is used. Check reading and decision use through other evidence.
Scroll horizontally to view the table
| Evidence number | Content and source | Corresponding hypothesis | Support / refute / undecidable |
|---|---|---|---|
Writing tips and explanation for this section
About this section
Record evidence and test findings
Sent logs do not confirm receipt, so a fictional acknowledgment is used. Check reading and decision use through other evidence.
View the method explanationWriting tips
Keep the information in each row aligned. Scroll wide tables horizontally to see every column.
Read the full fictional exampleMechanism conclusions
Integrate test findings into mechanism descriptions
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
Reason for this entry: Include remaining issues per hypothesis.
Writing tips and explanation for this section
About this section
Integrate test findings into mechanism descriptions
Include remaining issues per hypothesis.
View the method explanationWriting tips
Use the example as a reference and record what you have established about your own program. Distinguish assumptions and unchecked matters from confirmed facts.
Read the full fictional exampleAnalysis checklist
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
- ☐ Not checked: Predefined hypotheses and signals before collection
- ☑ Checked: At least 1 competing hypothesis alongside main
- ☑ Checked: Identified each evidence test type
- ☐ Not checked: Fairly recorded contrary evidence
- ☑ Checked: Explained competitor acceptance/rejection
- ☑ Checked: Stated generalization limits
Reason for this entry: Only H1 timing checked so far. H2 signals/testing plan blank, leaving item 1 unconfirmed; contrary-evidence collection incomplete, leaving item 4 unconfirmed. Reasons for deferring H2 and generalization limits are stated.
Writing tips and explanation for this section
About this section
Only H1 timing checked so far. H2 signals/testing plan blank, leaving item 1 unconfirmed; contrary-evidence collection incomplete, leaving item 4 unconfirmed. Reasons for deferring H2 and generalization limits are stated.
View the method explanationWriting tips
Read each item and check those you have confirmed. Do not use the fictional example’s checkbox states as findings about your own program.
Read the full fictional exampleBefore writing, check when to use the worksheet and what completion involves
Process tracing evidence-test worksheet is a worksheet for applying Process Tracing in meetings or individual work. For the overall duration of the method, use “Illustrative planning durations, not common standards: 2–6 months for one case including collection/analysis” as a reference, adjusting for scale and resources. Fill in what you know provisionally and leave unresolved matters as questions to check next.
When this worksheet is useful
- Explain mechanisms of why programs work or fail
- Trace causal pathways deeply in 1 to several cases
- Explain mechanisms/context after quantitative effects are found
Participants and preparation
1–2 evaluators experienced in qualitative/case research, with document/interview field staff and access to key program/policy informants
Bring the materials used for decisions, existing data, and differing stakeholder views to help complete the worksheet.
Suggested order
- 1. Basic informationEnter evaluation basics
- 2. Formulate causal hypothesesFix main/competing hypotheses before collection
- 3. Expected evidence signals, predefinedList expected evidence under each hypothesis and decide test types beforehand
- 4. Collect and judge evidenceRecord evidence and test findings
- 5. Mechanism conclusionsIntegrate test findings into mechanism descriptions
- 6. Analysis checklist
Signs the worksheet is ready for review
- Diagram: program → mechanism → outcome
- Test matrix: hypotheses × evidence × tests × judgments
- Grounds for retaining/rejecting competitors
Cautions for review
- Chronological storytelling is not process tracing. Preformulated hypotheses and discriminating evidence tests are central.
- Predetermined conclusions and no competing hypotheses create confirmation bias. Always compare alternatives against evidence.
- Avoid seeking only decisive evidence or treating many weak items as confirmation. Passing hoops does not confirm; assess discrimination, credibility and dependence.
Read a completed fictional example (your entries will not change)
A fictional illustration examining adoption of new indicators.
Basic information
- Case: program / policy / organization
- Indicator-adoption meeting
- Evaluation questions
- Which decisions used training materials?
- Analyst
- Analyst A (fictional)
- Creation date
- July 1, 2026 (fictional)
Reason for this entry: Focus on a specific adoption event.
Formulate causal hypotheses
Scroll horizontally to view the table
| Hypothesis number | X produced Y through mechanism M | Main / competing |
|---|---|---|
| H1 | Training materials supplied comparisons and encouraged new indicators | Main |
| H2 | Indicators adopted to meet funder requirements | Competing; coexistence possible |
Reason for this entry: Hypotheses need not be exclusive.
Expected evidence signals, predefined
Scroll horizontally to view the table
| Hypothesis number | Expected signal | Hoop / smoking gun / doubly-decisive / straw test | Judgment if found | Judgment if not found |
|---|---|---|---|---|
| H1 | Materials received before adoption meeting | hoop | Consistent with necessary order, not proof | Could refute with complete receipt records; missing logs leave undecidable |
Reason for this entry: State conditions for absence to refute.
Collect and judge evidence
Scroll horizontally to view the table
| Evidence number | Content and source | Corresponding hypothesis | Support / refute / undecidable |
|---|---|---|---|
| E1 | Fictional staff reply confirming receipt 2 days before the meeting | H1 | Consistent with necessary pre-meeting receipt; reading/use unconfirmed |
Reason for this entry: Sent logs do not confirm receipt, so a fictional acknowledgment is used. Check reading and decision use through other evidence.
Mechanism conclusions
Reason for this entry: Include remaining issues per hypothesis.
Analysis checklist
- ☐ Not checked: Predefined hypotheses and signals before collection
- ☑ Checked: At least 1 competing hypothesis alongside main
- ☑ Checked: Identified each evidence test type
- ☐ Not checked: Fairly recorded contrary evidence
- ☑ Checked: Explained competitor acceptance/rejection
- ☑ Checked: Stated generalization limits
Reason for this entry: Only H1 timing checked so far. H2 signals/testing plan blank, leaving item 1 unconfirmed; contrary-evidence collection incomplete, leaving item 4 unconfirmed. Reasons for deferring H2 and generalization limits are stated.
Common errors in judgment
Assume prior timing proves causality
How to revise: Treat order as necessary and examine mechanisms/competitors
Reason: Other factors can have the same timing.
Reject hypotheses because evidence is absent
How to revise: Check observability and recording completeness
Reason: Some events leave no records.
References and checked sections
- Process tracingBetterEvaluation
- Section consulted
- Process tracing involves four types of causal tests
- How it relates to the text
- Finding and not finding evidence may have different hypothesis implications.
How to cite this page
Change history
- — Checked definition/condition sources and added fictional examples, judgment rationales and completed fields. Revised unsupported history/uptake claims, existing procedures, fixed counts/thresholds and institutional generalizations. Unified fictional evidence as receipt acknowledgments, distinguishing sending, receipt, reading and decision use. Rechecked examples against completion checks and conditional procedures.


