was always the intention to gather feedback on the PRSP it happened
spontaneously in a manner that caught many people by surprise.
Attempts to gather it were thus more ad hoc than would have been
ideal. Comments on the process and recommendations on how the
process might be improved in future are given here
Apart from the
personal contacts, the community feedback on PRSP in this study came
only from 10 of 21 possible locations - i.e. Iringa, Kigoma, Lindi,
Morogoro, Shinyanga, Arusha, Dar es Salaam, Pemba, Mtwara and
Singida. Community feedback on PRSP should be received from the
other 15 locations so as to give a more realistic picture of poverty
in Tanzania. Respondents should be carefully selected such that the
majority of them come from the grassroots poor communities.
In addition to the
10 tough questions to provoke hard thinking at the back of the PRSP
booklet, a questionnaire requiring short answers or statements could
also be used. The questionnaire should include all PRSP and non-PRSP
issues. (PRSP issues are those which have been pre-determined,
whereas non-PRSP issues are those which have been identified during
the analysis process).
Respondents should indicate their location, sex, age and formal
education, among other things. It would also be very helpful if they
gave their names and contact addresses.
The PRSP Feedback Analysis Coding Sheet should be improved such that
it can be used with any data collection method - e.g. focus group
interviews and community interviews. (The coding sheet is most
appropriate for individual respondents).
Questions which can just be answered with a "Yes" or "No" should be
avoided as much as possible - e.g. Questions 4, 5 and 7. [NB: There
are 9 questions only in the Kiswahili version. Question 3 (English
version) has been omitted].
If a questionnaire is to be used to collect PRSP data, all the
cross-cutting programs, emerging issues and supplementary programs
should be emphasized. The relative rate of mention of these
programs/issues in the PRSP feedback analysis was generally very