Difference between revisions of "Procuring a Survey Firm"

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This article covers the procurement process for the data collection agency.  
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== Read First ==
== Read First ==
* include here key points you want to make sure all readers understand

Revision as of 01:43, 7 February 2017

This article covers the procurement process for the data collection agency.

Read First


Who will collect the data?

Most DIME surveys are conducted by a private Survey Firm. Other options include:

1. Government agency / Ministry

  • Pros: enumerators have sector knowledge; may be logistically simpler if project is paying for survey
  • Cons: perceived as independent? willing to survey control sites? Quality controls? performance incentives? HH survey experience?

2. National Statistics Office

  • Pros: Often high capacity
  • Cons: IE surveys are not in typical scope of work (focus on nationally representative surveys), busy with existing surveys, may not be interested in small-scale contracts

3. Directly hire enumerators

  • Pros: Highest degree of flexibility and control over the process
  • Cons: Procurement challenge (many individual consultants), full responsibility for logistics, requires much more time/effort from research team

Procurement Process

Figure 1: Procurement Process
Stage Minimum time required
Due diligence: research local survey firm options 2 weeks
Prepare detailed Terms of Reference (TORs) 2 weeks
Publish request for Expression of Interest (rEOI) 1 day
Firms submit expression of interest (EOI) 3 weeks
Shortlist firms based on EOI 1 day
Publish TOR and call for proposals 1 day
Shortlisted firms submit technical and financial proposals 3 weeks
Evaluation of technical then financial proposals 1 week
Negotiations and award of contract to selected firm 1 week
Contract published and signed 1 week

Terms of Reference

The Survey Firm TOR specifies scope of work, responsibilities, required activities, and deliverables. Developing a detailed TOR is essential!

Be sure that expectations and standards are clearly spelled out, with potential consequences. Otherwise even if you detect fraud may not be able to do anything about it!

    • Insert link to TOR template **


Problem with observable quality or representativeness of data

Examples: Enumerators not visiting households / falsifying data, Enumerators falsifying information to shorten interviews, Field Teams dropping households that weren’t actually unavailable (just difficult to get to, or not available on first visit)

--> Clearly specified protocols & standards in TORs are the mechanism for dealing with this. If you have laid out consequences for fraudulent activities in the TORs, those consequences can be called into effect here, and the firm will be given a warning, and if the problem continues the contract can be cancelled.

Logistical (typically sub-contractor) problems

Examples: Enumerators supposed to be paid by day, instead paid by questionnaire; enumerators paid much less than promised or salary withheld

--> It is very difficult for the research team to intervene in this case, as there is no formal relationship with the sub-contractors. It can only formally be dealt with if there are observable consequences for survey protocols or data quality, violating the TORs.

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This article is part of the topic Survey Firm Procurement

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